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Tytuł:
Synthesis of the structural diagram with algorithms of the units of the on-board diagnostic system of induction motors of vehicles
Autorzy:
Gubarevych, Oleg
Melkonova, Inna
Melkonov, Hryhorii
Melnyk, Olha
Miroshnykova, Mariia
Powiązania:
https://bibliotekanauki.pl/articles/31341645.pdf
Data publikacji:
2024
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
induction motor
damage detection
equipment monitoring
diagnostic system
diagnostic process
transport equipment monitoring
on-board diagnostic system
Opis:
In this comprehensive study, the concept and structural diagram of the system for diagnostics of induction electric motors of vehicles with the development of algorithms for the operation of modular units for monitoring the state of the main structural elements are proposed. During the development of the diagnostic system, the peculiarities of the construction of diagnostic systems of rotating electric machines were investigated in the real conditions of their operation, and modern methods of current and vibration diagnostics were implemented. The work algorithms of each module are presented in the functional diagram of the general diagnostic system of and cover important defects of induction motors. The diagnostic system combines methods that use different diagnostic principles and criteria and are adapted for use in an embedded diagnostic system. The developed functional diagram of the diagnostic system can be used for practical implementation in physical form. The use of the proposed diagnostic system will make it possible to obtain continuous information about the state of both electrical and mechanical components of the induction motor when operating under load with a poor-quality power system in real operating conditions.
Źródło:
Diagnostyka; 2024, 25, 1; art. no. 2024109
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Szczególny przypadek awarii silnika indukcyjnego w podziemiach kopalni węgla kamiennego
Autorzy:
Polak, Artur
Powiązania:
https://bibliotekanauki.pl/articles/31348354.pdf
Data publikacji:
2024
Wydawca:
Wydawnictwo Druk-Art
Tematy:
awaria silnika
silnik indukcyjny dużej mocy
przyczyny awarii
zasilanie agregatu chłodniczego
awaria katastrofalna
catastrophic failures
powering refrigeration unit
high power induction motor
Opis:
W szeregu publikacjach prezentowane są przykłady licznych awarii silników indukcyjnych dużej mocy. Analizując przyczyny awarii silników, można wymienić szereg nietypowych przyczyn, których początkiem są przede wszystkim uszkodzenia o charakterze mechanicznym i zmęczeniowym. Niejednokrotnie skutki takich uszkodzeń prowadzą do poważnych awarii o charakterze katastrofalnym. Celem opisanej ekspertyzy było wyjaśnienie przyczyn wystąpienia awarii silnika o mocy PN=630 kW i napięciu zasilania – UN=6000 V, który stanowił napęd sprężarki agregatu chłodniczego. Awaria silnika miała miejsce w podziemiach kopalni węgla kamiennego. W przypadku opisanej awarii silnika mamy do czynienia z przypadkiem szczególnym zaliczanym do tzw. awarii nietypowych. Choć taka kwalifikacja zdarzeń jest nieformalna to określa ona bardzo rzadkie przypadki ich występowania.
In the following series of publications, examples of failures of high-power squirrel cage motors are presented. While analysing failure cases of motors, it is possible to list out number of unusual causes, the beginning of which are primarily mechanical and fatigue damage. Often the effects of such damage leads to serious catastrophic failures. The purpose of the expertise was to explain the cause of failure of motor with power of PN = 610 kW and supply voltage of UN = 6000 V, which was powering refrigeration unit. The failure occurred in underground mine of bituminous coal. In the described case, we are dealing with special case of socalled atypical failures. Although such a qualification is informal, it defines very rare cases of their occurence.
Źródło:
Napędy i Sterowanie; 2024, 26, 1; 38-41
1507-7764
Pojawia się w:
Napędy i Sterowanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Time - frequency method and artificial neural network classifier for induction motor drive system defects classification
Autorzy:
Behim, Meriem
Merabet, Leila
Saad, Salah
Powiązania:
https://bibliotekanauki.pl/articles/31341644.pdf
Data publikacji:
2024
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
energy
L-kurtosis
wavelet packet decomposition
multilayer perceptron neural network
induction motor defects
vibratory signals
Opis:
In this paper, by introducing two statistical parameters, energy and L-kurtosis, a new fault diagnostic system combining Wavelet Packet Decomposition and Multilayer Perceptron Neural Network is designed to improve efficiency and precision of induction motor defects diagnosis. This method is applied to vibratory signals of asynchronous motor running at two different rotational speeds (1500 rpm and 2000 rpm) at a sampling frequency of 8 KHz to detect three main types of defects: bearing faults, load imbalance and misalignment. These speeds are considered as the usual medium running speeds of induction motor. According to the results, the high performance and accuracy of this new faults diagnostic system is proved and confirmed, thus it can be used in the detection of other machines defects.
Źródło:
Diagnostyka; 2024, 25, 1; art. no. 2024110
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of the features of application of vibration diagnostic methods of induction motors of transportation infrastructure using mathematical modeling
Autorzy:
Gubarevych, Oleg
Gerlici, Juraj
Gorobchenko, Oleksandr
Kravchenko, Kateryna
Zaika, Denys
Powiązania:
https://bibliotekanauki.pl/articles/2174469.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
vibration diagnostics
simulation modelling
induction motor
stator field asymmetry
turn-to-turn short circuits
diagnostyka drgań
modelowanie symulacyjne
silnik indukcyjny
uzwojenie stojana
zwarcia zwojowe
Opis:
In the work, studies were carried out on the use of vibration diagnostic methods for monitoring the state of induction motors with a squirrel-cage rotor, operated in electric drives of transport equipment. The most common and difficult-todiagnose damage to an induction motor is turn-to-turn short circuits in the stator winding, which require timely determination and establishment of the degree of damage to prevent an emergency shutdown of the equipment. The main purpose of the study is to establish the most effective areas of application of vibration diagnostic methods in determining the technical condition of the stator of induction motors under load. The experiments were carried out using simulation modeling for cases of turn-to-turn short circuits in one and two phases simultaneously, as well as with the influence of a low-quality supply voltage system on vibration parameters. The results of the work are relevant for further improvement of systems for diagnostic control of drives of transport equipment to increase the efficiency and reliability of their work.
Źródło:
Diagnostyka; 2023, 24, 1; art. no. 2023111
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Augmented speed control scheme of dual induction motors with mutual flux angle control loop
Autorzy:
Kondratenko, Dmytro
Lewicki, Arkadiusz
Łuksza, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/27309952.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
dual-motor drive
induction motors
IMs
five-leg voltage source inverter
FLVSI
rotor angle control
sensorless control
Opis:
This paper proposes an augmented speed control scheme of dual induction motors fed by a five-leg voltage source inverter (VSI) with a common/shared-leg. An additional control loop is proposed here and based on the mutual flux angle – the difference between flux angular positions of the IMs. The main purpose of this research is to minimize the energy losses in the common inverter leg by controlling the mutual flux angle, at equal angular speeds of both motors. Simulation and experimental studies were carried out and the effectiveness of the proposed control method was proven. The PLECS software package was used for the simulation tests. The laboratory prototypewas prepared for the experimental validation. All results were provided and discussed in this paper.
Źródło:
Archives of Electrical Engineering; 2023, 72, 4; 915--930
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Core loss resistance impact on sensorless speed control of an induction motor using hybrid adaptive sliding mode observer
Autorzy:
Ayana, Tadele
Wogi, Lelissa
Morawiec, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/27309950.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
induction motor
loss minimization
core loss
adaptive observer
sliding mode controller
Opis:
Induction motors (IMs) experience power losses when a portion of the input power is converted to heat instead of driving the load. The combined effect of copper losses, core losses, and mechanical losses results in IM power losses. Unfortunately, the core losses in the motor, which have a considerable impact on its energy efficiency, are not taken into account by the generally employed dynamic model in the majority of the studies. Due to this, the motor rating often corresponds to the worst-case load in applications, but the motor frequently operates below rated conditions. A hybridized model reference adaptive system (MRAS) with sliding mode control (SMC) is used in this study for sensorless speed control of an induction motor with core loss, allowing the motor to operate under a variety of load conditions. As a result, the machine can run at maximum efficiency while carrying its rated load. By adjusting the -axis current in the reference frame in vector-controlled drives, the system’s performance is enhanced by running the motor at its optimum flux. Regarding the torque and speed of both induction motors with and without core loss, the Adaptive Observer Sliding Mode Control (AOSMC) has been constructed and simulated in this case. The AOSMC with core loss produced good performance when the proposed controller was tested.
Źródło:
Archives of Electrical Engineering; 2023, 72, 4; 895--913
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determination of the working energy capacity of the on-board energy storage system of an electric locomotive for quarry railway transport during working with a limitation of consumed power
Autorzy:
Kondratieva, Liliia
Bogdanovs, Arturs
Overianova, Liliia
Riabov, Ievgen
Goolak, Sergey
Powiązania:
https://bibliotekanauki.pl/articles/27311785.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
railway transport
electric locomotive
energy storage system
traction drive
induction motor
transport kolejowy
lokomotywa elektryczna
system magazynowania energii
napęd trakcyjny
silnik indukcyjny
Opis:
The use of specialized rail rolling stock which is used for transporting ore from the quarry to the crushing plant at mining enterprises is analyzed here. Electric locomotives with an asynchronous traction electric drive and an on-board energy storage system are considered for use. The calculated dependencies of the electric locomotive tractive power were analyzed and it was established that on flat sections of the track profile, the movement is carried out with a power that does not exceed 50% of the nominal one. The movement with the nominal power is carried out on the controlled uphill during the cargo half-passage. To ensure the necessary power for movement in such areas, the use of an on-board energy storage system is proposed, which should feed the traction system while limiting the power consumed from the catenary. This happens when the voltage on the pantograph drops to a minimum level. The aim of this work is to determine the on-board energy storage system parameters during the operation of the electric locomotive with limitation of the power consumed from the traction network. Mathematical models of the energy exchange processes in the electric locomotive traction system have been developed. The criteria for comparing options for calculating the parameters of the on-board energy storage system have been proposed. The criteria take into account the reduction of energy consumption during movement, the efficiency of energy storage, and the complete use of the on-board energy storage system in terms of power and working energy capacity. Based on the calculation results, it was determined that the use of an energy storage device with a power of 3,540 kW and an operating energy capacity of 63.5 kWh provides a 10% reduction in energy consumption, which is being consumed while moving along the sample section of the road. The current that can be consumed by an electric locomotive with such parameters of the on-board energy storage system is limited by 600 A.
Źródło:
Archives of Transport; 2023, 65, 1; 119--154
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis
Autorzy:
Ouamara, Dehbia
Boukhnifer, Moussa
Chaibet, Ahmed
Maidi, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/2174472.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
induction motor
electrical vehicle
fault diagnosis
inter-turn short circuit
extended Kalman filter
spectral analysis
fast Fourier transform
short-time Fourier transform
silnik indukcyjny
pojazd elektryczny
diagnostyka uszkodzeń
zwarcie międzyzwojowe
rozszerzony filtr Kalmana
analiza spektralna
szybka transformata Fouriera
krótkoczasowa transformata Fouriera
Opis:
The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being the most common. The impact of this failure must be considered from the incipient as it can affect the performance of the motor, especially for electrically powered vehicle application. In this paper, the intern turn short circuit of the stator winding was studied using Fast Fourier transform (FFT) and Shor-Time Fourier transform (STFT) approaches. The residuals current between the estimated currents provided by the extended Kalman filter (EKF) and the actual ones are used for fault diagnosis and identification. Through FFT, the residual spectrum is sensitive to faults and gives the extraction of inter-turn short circuit (ITSC) related frequencies in the phase winding. In addition, the FFT is used to obtain information about when and where the ITSC appears in the phase winding. Indeed, the results allow to know the faulty phase, to estimate the fault rate and the fault occurrence frequency as well as their appearance time.
Źródło:
Diagnostyka; 2023, 24, 1; art. no. 2023113
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis of induction motors: an architecture for real-time assessment as a cyber-physical system
Autorzy:
Pal, Ranjan Sasti Charan
Dewangan, Nagesh
Mohanty, Amiya Ranjan
Powiązania:
https://bibliotekanauki.pl/articles/38890075.pdf
Data publikacji:
2023
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
cyber-physical system
fault diagnosis
induction motors
motor current signature analysis
Opis:
Induction motors (IMs) have a crucial and significant role in various industrial sectors. With the prolonged operation of IMs, faults tend to develop that can be classified into five major categories, i.e., broken rotor bars, stator winding faults, air-gap eccentricity, bearing faults, and load torque fluctuations. If the faults go undetected, it may lead to catastrophic failure. Hence, the predictive-based condition monitoring technique has evolved as a real-time fault diagnosis that exploits the revolutionary idea of cyber-physical system (CPS). Furthermore, motor current signature analysis (MCSA) is a non-invasive fault diagnosis technique of a motor that can be used to investigate the presence of five fault types. However, the major constraint that industries face today is the on-field implementation of MCSA-based fault diagnosis involving CPS-based architecture, executed in an automated manner. Hence, the present article depicts algorithms that aim at real-time monitoring of IMs through a CPS framework. The proposed methodology is automated, does not involve any human intervention, and has been validated with real-time experiments, depicting its effectiveness and practicality.
Źródło:
Engineering Transactions; 2023, 71, 1; 23-42
0867-888X
Pojawia się w:
Engineering Transactions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Narażenie maszyn elektrycznych w czasie postojów
Exposure of Electric Machines During Stoppages
Autorzy:
Glinka, Tadeusz
Polak, Artur
Powiązania:
https://bibliotekanauki.pl/articles/31804008.pdf
Data publikacji:
2023
Wydawca:
Wydawnictwo Druk-Art
Tematy:
silniki indukcyjne klatkowe
awaria silnika
Opinia Biegłego Sądowego
squirrel-cage induction motors
motor failure
Opinion of a forensic expert
Opis:
Producenci maszyn elektrycznych w Dokumentacji Techniczno-Ruchowej (DTR) zabezpieczają warunki gwarancji. Jeśli właściciel silnika nie przestrzega zaleceń eksploatacyjnych podanych w DTR, to producent silnika odmawia uznania gwarancji. Sprawa trafia do sądu. Biegły sądowy lub ekspert, w oparciu o ograniczone informacje o eksploatacji i awarii silnika, opracowuje opinie. W artykule przedstawiono przykład takiej sprawy i konkluzję Opinii Biegłego Sądowego.
Manufacturers of electrical machines in the Opera tion and Maintenance Documentation provide the warranty conditions. If the engine owner does not comply with the operat ing recommendations given in the Operation and Maintenance Manual, the engine manufacturer refuses to accept the warranty. The case goes to the Court. A forensic expert or an expert pre pares Opinions based on limited information on the operation and failure of the engine. The article presents an example of such a case and the conclusion of the Opinion of a court expert.
Źródło:
Napędy i Sterowanie; 2023, 25, 4; 46-50
1507-7764
Pojawia się w:
Napędy i Sterowanie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller
Autorzy:
Herizi, Abdelghafour
Rouabhi, Riyadh
Zemmit, Abderrahim
Powiązania:
https://bibliotekanauki.pl/articles/2232527.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
double fed induction motor
type-2 fuzzy logic
backstepping control
hybrid control
robust
silnik indukcyjny
logika rozmyta typu 2
kontrola wsteczna
sterowanie hybrydowe
Opis:
The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
Źródło:
Diagnostyka; 2023, 24, 3; art. no. 2023301
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stator current spectrum analysis of a double cage induction motor with rotor asymmetry
Autorzy:
Tulicki, Jarosław
Sobczyk, Tadeusz Jan
Sułowicz, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/24202742.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
cage asymmetry
double cage induction motor
harmonic balance method
steady-state analysis
stator current Fourier spectra
Opis:
This study presents a method to directly calculate the stator current Fourier spectra in double-cage induction motors to diagnose faults in rotor cages. A circuit model is developed for this purpose, allowing the modelling of any asymmetry in the outer and inner rotor cages. The model extends the conventional model of a cage motor by considering the higher space harmonics generated by the stator windings. The asymmetry of the cages is modelled by growing the resistance of any of the rotor bars. This results in various model equations, to be solved by looking for diagnostic signals. Motor current signature analysis is typically used to diagnose cage motors based on the Fourier spectra of the stator currents during steady-state operation. This study determines these spectra for double cage motors using the harmonic balance method, omitting the transient calculations. The calculation results confirmed the sensitivity of the stator current Fourier spectra as a diagnostic signal to distinguish faults in the outer and inner cages.
Źródło:
Archives of Electrical Engineering; 2023, 72, 2; 357--371
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unraveling Induction Motor State through Thermal Imaging and Edge Processing : A Step towards Explainable Fault Diagnosis
Autorzy:
Piechocki, Mateusz
Pajchrowski, Tomasz
Kraft, Marek
Wolkiewicz, Marcin
Ewert, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/27312790.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
thermal imaging
fault diagnosis
squirrel-cage induction motor
convolutional neural networks
explainability
edge processing
Opis:
Equipment condition monitoring is essential to maintain the reliability of the electromechanical systems. Recently topics related to fault diagnosis have attracted significant interest, rapidly evolving this research area. This study presents a non-invasive method for online state classification of a squirrel-cage induction motor. The solution utilizes thermal imaging for non-contact analysis of thermal changes in machinery. Moreover, used convolutional neural networks (CNNs) streamline extracting relevant features from data and malfunction distinction without defining strict rules. A wide range of neural networks was evaluated to explore the possibilities of the proposed approach and their outputs were verified using model interpretability methods. Besides, the top-performing architectures were optimized and deployed on resource-constrained hardware to examine the system's performance in operating conditions. Overall, the completed tests have confirmed that the proposed approach is feasible, provides accurate results, and successfully operates even when deployed on edge devices.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 3; art. no. 170114
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A computationally low burden MPTC of induction machine without prediction loop and weighting factor
Autorzy:
Kiani, Babak
Powiązania:
https://bibliotekanauki.pl/articles/2173663.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
MPTC
model predictive torque control
induction motor
duty ratio
voltage vector
lookup table
weighting factor
modelowa predykcyjna kontrola momentu obrotowego
silnik indukcyjny
współczynnik wypełnienia impulsu
wektor napięcia
tabela przeglądowa
współczynnik ważenia
Opis:
This paper presents a novel method to overcome problems of finite set-model-based predictive torque control (MPTC) which has received a lot of attention in the last two decades. Tuning the weighting factor, evaluating a large number of switching states in the loop of the predictive control, and determining the duty cycle are three major challenges of the regular techniques. Torque and flux responses of deadbeat control have been developed to overcome these problems. In our method, firstly, the prediction stage is performed just once. Then, both the weighted cost function and its evaluation are replaced with only simple relationships. The relationships reduce torque ripple and THD of stator current compromisingly. In the next step, the length of the virtual vector is used to determine the duty cycle of the optimum voltage vector without any additional computations. The duty ratio does not focus on any relation or criteria minimizing torque or flux ripple. As a result, torque and flux ripples are reduced equally. The proposed duty cycle is calculated by using a predicted virtual voltage vector. Hence, no new computation is needed to determine the proposed duty cycle. Simulation and experimental results confirm both the steady and dynamic performance of the proposed method in all speed ranges.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 4; art. no. e142050
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel, machine learning-based feature extraction method for detecting and localizing bearing component defects
Autorzy:
Cherif, Bilal Djamal Eddine
Seninete, Sara
Defdaf, Mabrouk
Powiązania:
https://bibliotekanauki.pl/articles/2106416.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
induction motor
bearing
fault
outer race
inner race
ENV
RF
Opis:
Vibration analysis for conditional preventive maintenance is an essential tool for the industry. The vibration signals sensored, collected and analyzed can provide information about the state of an induction motor. Appropriate processing of these vibratory signals leads to define a normal or abnormal state of the whole rotating machinery, or in particular, one of its components. The main objective of this paper is to propose a method for automatic monitoring of bearing components condition of an induction motor. The proposed method is based on two approaches with one based on signal processing using the Hilbert spectral envelope and the other approach uses machine learning based on random forests. The Hilbert spectral envelope allows the extraction of frequency characteristics that are considered as new features entering the classifier. The frequencies chosen as features are determined from a proportional variation of their amplitudes with the variation of the load torque and the fault diameter. Furthermore, a random forest-based classifier can validate the effectiveness of extracted frequency characteristics as novel features to deal with bearing fault detection while automatically locating the faulty component with a classification rate of 99.94%. The results obtained with the proposed method have been validated experimentally using a test rig.
Źródło:
Metrology and Measurement Systems; 2022, 29, 2; 333--346
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
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