- Tytuł:
- Fault detection in robots based on discrete wavelet transformation and eigenvalue of energy
- Autorzy:
-
Ouarhlent, Saloua
Terki, Nadjiba
Hamiane, Madina
Dahmani, Habiba - Powiązania:
- https://bibliotekanauki.pl/articles/27313829.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
2 DOF robot
fault detection system
discrete wavelet transform
DWT
energy eigen value
robot
dyskretna transformata falkowa
DVT
system wykrywania błędów - Opis:
- This article addresses the problem of fault detection in robot manipulator systems. In the production field, online detection and prevention of unexpected robot stops avoids disruption to the entire manufacturing line. A number of researchers have proposed fault diagnosis architectures for electrical systems such as induction motor, DC motor, etc..., utilising the technique of discrete wavelet transform. The results obtained from the use of this technique in the field of diagnosis are very encouraging. Inspired by previous work, The objective of this paper is to present a methodology that enables accurate fault detection in the actuator of a two-degree of freedom robot arm to avoid system performance degradation. A partial reduction in joint torque constitutes the actuator fault, resulting in a deviation from the desired end-effector motion. The actuator fault detection is carried out by analysing the torques signals using the wavelet transform. The stored energy at each level of the transform contains information which can be used as a fault indicator. A Matlab/Simulink simulation of the manipulator robot demonstrates the effectiveness of the proposed technique.
- Źródło:
-
Diagnostyka; 2023, 24, 4; art. no. 2023407
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł