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Tytuł:
Fault Diagnosis of Sensors for T-type Three-Level Inverter-fed Dual Three-Phase Permanent Magnet Synchronous Motor Drives
Autorzy:
Wang, Xueqing
Wang, Zheng
Wang, Wei
Cheng, Ming
Powiązania:
https://bibliotekanauki.pl/articles/1193713.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fault diagnosis
sensor fault
T-type inverter
three-level inverter
dual
three-phase
PMSM
Opis:
To improve the reliability of motor system, this paper investigates the sensor fault diagnosis methods for T-type inverter-fed dual three-phase permanent magnet synchronous motor (PMSM) drives. Generally, a T-type three-level inverter-fed dual three-phase motor drive utilizes four phase-current sensors, two direct current (DC)-link voltage sensors and one speed sensor. A series of diagnostic methods have been comprehensively proposed for the three types of sensor faults. Both the sudden error change and gradual error change of sensor faults are considered. Firstly, the diagnosis of speed sensor fault was achieved by monitoring the error between the rotating speed of stator flux and the value from speed sensor. Secondly, the large high-frequency voltage ripple of voltage difference between the estimated voltage and the reference voltage was used to identify the voltage sensor faults, and the faulty voltage sensor was determined according to the deviation of voltage difference. Thirdly, the abnormal current amplitude on harmonic subspace was adopted to identify the current sensor faults, and the faulty current sensor was located by distinguishing the current trajectory on harmonic subspace. The experiments have been taken on a laboratory prototype to verify the effectiveness of the proposed fault diagnosis schemes.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 165-176
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Introduction to the Special Section on Intelligent Fault Monitoring and Fault–Tolerant Control in Power Electronics, Drives and Renewable Energy Systems
Autorzy:
Malinowski, Mariusz
Levi, Emil
Orlowska-Kowalska, Teresa
Powiązania:
https://bibliotekanauki.pl/articles/1193706.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
electrical drives
permanent magnet machine
induction motors
sensor fault
winding fault
demagnetization fault
neural networks
observers
Opis:
This article constitutes an introductory part of the special section on Intelligent Fault Monitoring and Fault-Tolerant Control in Power Electronics, Drives and Renewable Energy Systems. In the current issue of the journal, the first part of this section is published. Accepted articles are focussed mainly on the sensor-fault diagnosis methods for T-type inverter-fed dual- three phase PMSM drives, partial demagnetization, faults of the permanent magnet synchronous generator (PMSG) and online open phase fault detection (FD) in the sensorless five-phase induction motor drive implemented with an inverter output LC filter and third harmonic injection. Also, neural networks (NN) application in the detection of stator and rotor electrical faults of induction motors has been proposed in one of the papers, and the observer-based FD concept for unknown systems using input–output measurements was applied to a brushless direct current motor drive with unknown parameters.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 163-165
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust multiple sensor fault-tolerant control for dynamic non-linear systems: Application to the aerodynamical twin-rotor system
Autorzy:
Pazera, M.
Buciakowski, M.
Witczak, M.
Powiązania:
https://bibliotekanauki.pl/articles/330570.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault tolerant control
sensor fault
fault estimation
twin-rotor system
sterowanie tolerujące uszkodzenia
błąd czujnika
estymacja błędu
Opis:
The paper deals with the problem of designing sensor-fault tolerant control for a class of non-linear systems. The scheme is composed of a robust state and fault estimator as well as a controller. The estimator aims at recovering the real system state irrespective of sensor faults. Subsequently, the fault-free state is used for control purposes. Also, the robust sensor fault estimator is developed in a such a way that a level of disturbances attenuation can be reached pertaining to the fault estimation error. Fault-tolerant control is designed using similar criteria. Moreover, a separation principle is proposed, which makes it possible to design the fault estimator and control separately. The final part of the paper is devoted to the comprehensive experimental study related to the application of the proposed approach to a non-linear twin-rotor system, which clearly exhibits the performance of the new strategy.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 2; 297-308
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive control of NPC three-level grid-tied converter based on reconstructed current
Autorzy:
Li, Yanyan
Xiao, Han
Jin, Nan
Yan, Guanglu
Powiązania:
https://bibliotekanauki.pl/articles/2086686.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
current reconstruction
current sensor fault
fault-tolerant
model predictive control
neutral point clamped three-level converter
Opis:
The neutral point clamped (NPC) three-level grid-tied converter is the key equipment connecting renewable energy and power grids. The current sensor fault caused by harsh environment may lead to the split of renewable energy. The existing sensor fault-tolerant methods will reduce the modulation ratio index of the converter system. To ensure continuous operation of the converter system and improve the modulation index, a model predictive control method based on reconstructed current is proposed in this paper. According to the relationship between fault phase current and a voltage vector, the original voltage vector is combined and classified. To maintain the stable operation of the converter and improve the utilization rate of DC voltage, two kinds of fault phase current are reconstructed with DC current, normal phase current and predicted current, respectively. Based on reconstructed three-phase current, a current predictive control model is designed, and a model predictive control method is proposed. The proposed method selects the optimal voltage vector with the cost function and reduces time delay with the current reconstruction sector. The simulation and experimental results show that the proposed strategy can keep the NPC converter running stably with one AC sensor, and the modulation index is increased from 57.7% to 100%.
Źródło:
Archives of Electrical Engineering; 2022, 71, 2; 363--377
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A hybrid active fault-tolerant control scheme for wind energy conversion system based on permanent magnet synchronous generator
Autorzy:
Tahri, A.
Hassaine, S.
Moreau, S.
Powiązania:
https://bibliotekanauki.pl/articles/140788.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
wind energy conversion system
active fault-tolerant control
permanent magnet synchronous generator
sensor fault diagnosis
sliding mode observer
Opis:
Wind energy has achieved prominence in renewable energy production. There- fore, it is necessary to develop a diagnosis system and fault-tolerant control to protect the system and to prevent unscheduled shutdowns. The presented study aims to provide an experimental analysis of a speed sensor fault by hybrid active fault-tolerant control (AFTC) for a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG). The hybrid AFTC switches between a traditional controller based on proportional integral (PI) controllers under normal conditions and a robust backstepping controller system without a speed sensor to avoid any deterioration caused by the sensor fault. A sliding mode observer is used to estimate the PMSG rotor position. The proposed controller architecture can be designed for performance and robustness separately. Finally, the proposed methodwas successfully tested in an experimental set up using a dSPACE 1104 platform. In this experimental system, the wind turbine with a generator connection via a mechanical gear is emulated by a PMSM engine with controled speed through a voltage inverter. The obtained experimental results show clearly that the proposed method is able to guarantee service production continuity for the WECS in adequate transition.
Źródło:
Archives of Electrical Engineering; 2018, 67, 3; 485--497
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosis of sensor faults in a combustion engine control system with the artificial neural network
Diagnozowanie uszkodzeń czujników w systemie sterowania silnika spalinowego z wykorzystaniem sztucznej sieci neuronowej
Autorzy:
Komorska, iwona
Wołczyński, Zbigniew
Borczuch, Artur
Powiązania:
https://bibliotekanauki.pl/articles/329450.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
combustion engine
sensor fault diagnosis
artificial neural network
silnik spalinowy
diagnozowanie uszkodzeń
czujnik
sztuczna sieć neuronowa
Opis:
The work presents the investigations carried out on a spark-ignition internal combustion engine with gasoline direct injection. The tests were carried out under conditions of simulated damage to the air temperature sensor, engine coolant temperature sensor, fuel pressure sensor, air pressure sensor, intake manifold leakage, and air flow disturbances. The on-board diagnostic system did not detect any damage because the sensor indications were within acceptable limits. The engine control system in each case changed its settings according to the adaptive algorithm. Signal values in cycles from all available sensors in the engine control system and data available in the on-board diagnostic system of the car were recorded. A large amount of measurement data was obtained. They were used to create a statistical function that classifies sensor faults using an artificial neural network. A set of training data has been prepared accordingly. During learning the neural network, a hit rate of over 99% was achieved.
W pracy przedstawiono badania przeprowadzone na silniku spalinowym o zapłonie iskrowym z bezpośrednim wtryskiem paliwa. Testy wykonano w warunkach symulowanych uszkodzeń czujników temperatury powietrza, temperatury cieczy chłodzącej silnik, ciśnienia paliwa, ciśnienia powietrza, nieszczelności w kolektorze dolotowym, zaburzenia przepływu powietrza. System diagnostyki pokładowej nie wykrył żadnego uszkodzenia, ponieważ wskazania czujników mieściły się w granicach tolerancji. System sterowania silnika w każdym przypadku zmieniał swoje ustawienia według adaptacyjnego algorytmu. Rejestrowano cyklowe wartości sygnałów ze wszystkich dostępnych czujników w systemie sterowania silnika oraz dane dostępne w systemie diagnostyki pokładowej samochodu. Otrzymano dużą ilość danych pomiarowych. Wykorzystano je do utworzenia statystycznej funkcji klasyfikującej uszkodzenia przy pomocy sztucznej sieci neuronowej. Odpowiednio przygotowano zbiór danych uczących. W trakcie uczenia sieci neuronowej osiągnięto współczynnik trafień powyżej 99%.
Źródło:
Diagnostyka; 2019, 20, 4; 19-25
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
H−/H∞ fault detection observer design for a polytopic LPV system using the relative degree
Autorzy:
Zhou, M.
Rodrigues, M.
Shen, Y.
Theilliol, D.
Powiązania:
https://bibliotekanauki.pl/articles/330200.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fault detection observer
polytopic LPV system
relative degree of output
actuator fault detection
sensor fault detection
detekcja uszkodzeń
urządzenie wykonawcze
czujnik detekcji
Opis:
This paper proposes an H−/H∞ fault detection observer method by using generalized output for a class of polytopic linear parameter-varying (LPV) systems. As the main contribution, with the aid of the relative degree of output, a new output vector is generated by gathering the original output and its time derivative, and it is feasible to consider H− actuator fault sensitivity in the entire frequency for the new system. In order to improve actuator and sensor fault sensitivity as well as guarantee robustness against disturbances, simultaneously, an H−/H∞ fault detection observer is designed for the new LPV polytopic system. Besides, the design conditions of the proposed observer are transformed into an optimization problem by solving a set of linear matrix inequalities (LMIs). Numerical simulations are provided to illustrate the effectiveness of the proposed method.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 83-95
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault tolerant multicontrollers for nonlinear systems: A real validation on a chemical process
Autorzy:
Mejdi, Sondess
Messaoud, Anis
Ben Abdennour, Ridha
Powiązania:
https://bibliotekanauki.pl/articles/331163.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multicontroller
experimental validation
transesterification reactor
discrete unknown input multiobserver
fault tolerant control
sensor fault estimation
weryfikacja doświadczalna
sterowanie tolerujące uszkodzenia
błąd czujnika
estymacja błędu
Opis:
An active sensor fault tolerant controller for nonlinear systems represented by a decoupled multimodel is proposed. Active fault tolerant control requires accurate fault estimation. Thus, to estimate both state variables and sensor faults, a discrete unknown input multiobserver, based on an augmented state multimodel, is designed. The multiobserver gains are computed by solving linear matrix inequalities with equality constraints. A multicontrol strategy is proposed for the compensation of the sensor fault and recovering the desired performances. This strategy integrates a bank of controllers, corresponding to a set of partial models, to generate a set of control laws compensating the fault effect. Then, a switching strategy between the generated local control laws is established in order to apply the most suitable control law that tolerates the fault and maintains good closed loop performances. The effectiveness of the proposed strategy is proven through a numerical example and also through a real time application on a chemical reactor. The obtained results confirm satisfactory closed loop performance in terms of trajectory tracking and fault tolerance.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 1; 61-74
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of the stator current reconstruction method on direct torque control of induction motor drive in current sensor postfault operation
Autorzy:
Adamczyk, Michal
Orlowska-Kowalska, Teresa
Powiązania:
https://bibliotekanauki.pl/articles/2173546.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
current sensor fault
induction motor drive
direct torque control
DTC
current estimator
fault-tolerant control
usterka czujnika
napęd silnika indukcyjnego
bezpośrednia kontrola momentu obrotowego
estymator
kontrola odporna na awarie
Opis:
Modern induction motor (IM) drives with a higher degree of safety should be equipped with fault-tolerant control (FTC) solutions. Current sensor (CS) failures constitute a serious problem in systems using vector control strategies for IMs because these methods require state variable reconstruction, which is usually based on the IM mathematical model and stator current measurement. This article presents an analysis of the operation of the direct torque control (DTC) for IM drive with stator current reconstruction after CSs damage. These reconstructed currents are used for the stator flux and electromagnetic torque estimation in the DTC with space-vector-modulation (SVM) drive. In this research complete damage to both stator CSs is assumed, and the stator current vector components in the postfault mode are reconstructed based on the DC link voltage of the voltage source inverter (VSI) and angular rotor speed measurements using the so-called virtual current sensor (VCS), based on the IM mathematical model. Numerous simulation and experimental tests results illustrate the behavior of the drive system in different operating conditions. The correctness of the stator current reconstruction is also analyzed taking into account motor parameter uncertainties, especially stator and rotor resistances, which usually are the main parameters that determine the proper operation of the stator flux and torque estimation in the DTC control structure.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e140099, 1--11
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Compensation methods of current and speed sensor faults for a vector controlled induction motor drive system
Autorzy:
Klimkowski, K.
Powiązania:
https://bibliotekanauki.pl/articles/1193297.pdf
Data publikacji:
2017
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
DFOC
speed sensor
current sensor
detector
fault tolerant drive
Opis:
Chosen speed and current sensor fault detectors for a vector controlled induction motor drive system have been presented. Systems based on the artificial intelligence (neural network) and simple algorithmic systems were analyzed and tested in various drive conditions. The influence of chosen sensor faults on performance of the drive system has been presented. The compensation strategy was proposed and tested. A fault tolerant drive, based on hardware redundancy, has been developed and presented. Simulation and experimental results are obtained in direct field oriented control algorithm (DFOC) on the laboratory set-up with rapid prototyping card Micro Lab Box DS1202 by dSpace.
Źródło:
Power Electronics and Drives; 2017, 2, 37/1; 57-69
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of Observer-Based Fault Detection Structure for Unknown Systems using Input–Output Measurements: Practical Application to BLDC Drive
Autorzy:
Eissa, M. Abdullah
Darwish, R. R.
Bassiuny, A. M.
Powiązania:
https://bibliotekanauki.pl/articles/1193710.pdf
Data publikacji:
2019
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fault
sensor
measurements
observer
BLDC motor
Opis:
Industrial systems serve us in all areas of life. Faults may result in economic loss and wasting energy. Detecting the onset of faults, and determining their location are important engineering tasks. An important class of fault detection (FD) and diagnosis methods utilizes the mathematical model of the monitored system. But, the parameters required for mathematical modelling are limited or unavailable for the most real industrial engineering applications. Observer-based FD is one of the main approaches to FD and identification. At the same time, the traditional observer’s gain calculation required system model parameters. So, this article presents the design of a novel observer for FD purposes using the input–output measurements of the system with unknown parameters. This proposed observer’s design considers observer’s gain tuning, regardless of the mathematical representation of the plant. This the new feature that distinction our observer will facilitate the implementation of FD systems for many unknown parameters industrial systems. The effectiveness of the proposed observer is verified by experimental application to BLDC motor and compared with classical Luenberger observer. The experimental and comparison results prove feasibility and effectiveness of the proposed observer for FD purposes.
Źródło:
Power Electronics and Drives; 2019, 4, 39; 215-224
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian Network Based Fault Tolerance in Distributed Sensor Networks
Autorzy:
Lokesh, B. B.
Nalini, N.
Powiązania:
https://bibliotekanauki.pl/articles/308287.pdf
Data publikacji:
2014
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
Bayesian network
distributed sensor networks
fault detection
fault tolerance
fault recovery
network control
routing
Opis:
A Distributed Sensor Network (DSN) consists of a set of sensors that are interconnected by a communication network. DSN is capable of acquiring and processing signals, communicating, and performing simple computational tasks. Such sensors can detect and collect data concerning any sign of node failure, earthquakes, floods and even a terrorist attack. Energy efficiency and fault-tolerance network control are the most important issues in the development of DSNs. In this work, two methods of fault tolerance are proposed: fault detection and recovery to achieve fault tolerance using Bayesian Networks (BNs). Bayesian Network is used to aid reasoning and decision making under uncertainty. The main objective of this work is to provide fault tolerance mechanism which is energy efficient and responsive to network using BNs. It is also used to detect energy depletion of node, link failure between nodes, and packet error in DSN. The proposed model is used to detect faults at node, sink and network level faults (link failure and packet error). The proposed fault recovery model is used to achieve fault tolerance by adjusting the network of the randomly deployed sensor nodes based on of its probabilities. Finally, the performance parameters for the proposed scheme are evaluated.
Źródło:
Journal of Telecommunications and Information Technology; 2014, 4; 44-52
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effective sensor placement based on a VIKOR method considering common cause failure in the presence of epistemic uncertainty
Autorzy:
Duan, Rong-Xing
He, Jie-Jun
Feng, Tao
Huang, Shu-Juan
Chen, Li
Powiązania:
https://bibliotekanauki.pl/articles/1841697.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
dynamic fault tree
epistemic uncertainty
sensor placement
reliability criterion
diagnostic sensor model
Opis:
Owing to expensive cost and restricted structure, limited sensors are allowed to install in modern systems to monitor the working state, which can improve their availability. Therefore, an effective sensor placement method is presented based on a VIKOR algorithm considering common cause failure (CCF) under epistemic uncertainty in this paper. Specifically, a dynamic fault tree (DFT) is developed to build a fault model to simulate dynamic fault behaviors and some reliability indices are calculated using a dynamic evidence network (DEN). Furthermore, a VIKOR method is proposed to choose the possible sensor locations based on these indices. Besides, a sensor model is introduced by using a priority AND gate (PAND) to describe the failure sequence between a sensor and a component. All placement schemes can be enumerated when the number of sensors is given, and the largest system reliability is the best alternative among the placement schemes. Finally, a case study shows that CCF has some influence on sensor placement and cannot be neglected in the reliabilitybased sensor placement.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 253-262
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An influence of the chosen sensors faults to the performance of the vector controlled induction motor drive system
Autorzy:
Klimkowski, K.
Dybkowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/97365.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
fault tolerant control (FTC)
speed sensor
current sensor
faults
induction motor drive
DFOC
MRAS
Opis:
In the paper the influence of the chosen sensors faults (rotor speed and stator current sensors) to the properties of induction motor drive system working in the Direct Field Oriented Control structure (DFOC) were tested. Simulations results carried out in Matlab/SimPowerSystem software. Study results contains an analysis of the state variables such as: mechanical and estimated speed, electromagnetic torque, stator's phase currents and rotor flux. Additionally the usage of these signals to develop faults detection algorithms were tested.
Źródło:
Computer Applications in Electrical Engineering; 2014, 12; 294-301
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Performance analysis of multi-layered clustering network using fault tolerance multipath routing protocol (MRP-FT) in a wireless sensor network (WSN)
Autorzy:
Kaur, Gagandeep
Powiązania:
https://bibliotekanauki.pl/articles/2204100.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
scalability
fault tolerance
neural networks
Boltzmann learning
wireless sensor network
Opis:
Wireless sensor networks (WSNs) are ad hoc and self-configuring networks having the possibility that any sensor node can connect or leave the network. With no central controller in WSN, wireless sensor nodes are considered responsible for data routing in the networks. The wireless sensor nodes are very small in size and have limited resources, therefore, it becomes difficult to recharge or replace the battery of the sensor nodes at far places. The present study focused on reducing the battery consumption of the sensor nodes by the deployment of the newly proposed Fault Tolerance Multipath Routing Protocol (MRP-FT) as compared with the existing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol under particle swarm optimisation based fault tolerant routing (PSO-FT) technique. The proposed algorithm of MRP-FT-based on the dynamic clustering technique using Boltzmann learning of the neural network and the weights were adjusted according to the area of networks, number of nodes and rounds, the initial energy of nodes (E0), transmission energy of nodes (d
Źródło:
Operations Research and Decisions; 2023, 33, 1; 75--92
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
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