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- Title
Engine fault diagnosis based on multi-resolution analysis and dual microphones.
- Authors
Rong Zeng; Ruili Zeng; Jianmin Mei; Lei Ding
- Abstract
In order to diagnose the abnormal sound fault of the diesel without disassemble, dual microphones are used to collect noise signal of the engine in this paper, and the sound pressure signal is decomposed with wavelet decomposition technique. By comparing different wavelet decomposition techniques, it determines the sound feature parameter for fault diagnosis, and establishes a BP neural network for pattern recognition. The test result shows that diagnosing engine fault with dual microphones is accuracy, and it can be applied to diagnose the abnormal sound fault of engine.
- Subjects
FAULT diagnosis; MICROPHONES; SIGNAL-to-noise ratio; MATHEMATICAL decomposition; WAVELETS (Mathematics); FEATURE extraction
- Publication
Vibroengineering Procedia, 2018, Vol 18, p46
- ISSN
2345-0533
- Publication type
Article
- DOI
10.21595/vp.2018.19931