|
| Fault Diagnosis of Gearbox Based on Variational Auto-encoder with Condition |
| Received:March 26, 2020 Revised:April 28, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2020.07.012 |
| KeyWord:CVAE gearbox fault diagnosis vibration signal |
| Author | Institution |
| WANG Yu |
State Key Laboratory of Mechanical Transmission, College of Mechanical Engineering, Chongqing University, Chongqing , China |
| YIN Ai-jun |
State Key Laboratory of Mechanical Transmission, College of Mechanical Engineering, Chongqing University, Chongqing , China |
|
| Hits: |
| Download times: |
| Abstract: |
| The paper aims to realize intelligent fault type diagnosis of gearbox. A fault diagnostic method based on variational auto-encoder with condition (CVAE) was proposed to solve the shortcoming of traditional fault diagnosis methods of poor universality, strong data dependence, weak generalization ability and manual feature extraction demand. High accuracy identification of all kinds of gearbox faults were realized by building a conditional probability model of frequency spectrum of gearbox vibration signal through CVAE with the spectrum of vibration signal as condition, which was optimized by variational inference combined with multi-layer neural network. Accurate fault identification was realized with only a small amount of training data. CVAE has excellent performance in modeling frequency spectrum probability distribution of gearbox vibration signal with low dependence on fault signal data, strong ability of generalization, needlessness of manually extract features and can realize intelligent identification and diagnose of gearbox faults effectively. |
| Close |
|
|
|