Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal
نویسندگان
چکیده
منابع مشابه
Automobile Independent Fault Detection based on Acoustic Emission Using Wavelet
Wavelet transform is a well-known signal processing technique which has proven to be a successful technique in Non-Destructive Testing (NDT). Adopting this technique by Acoustic Emission (AE) method could result in better interpretation of data that are used for fault detection. In this study, AE signals emitted from automobile engines in both faulty and healthy conditions are analyzed using wa...
متن کاملBearing Fault Detection Based on Empirical Wavelet Transform and Correlated Kurtosis by Acoustic Emission
Rolling bearings are widely used in rotating equipment. Detection of bearing faults is of great importance to guarantee safe operation of mechanical systems. Acoustic emission (AE), as one of the bearing monitoring technologies, is sensitive to weak signals and performs well in detecting incipient faults. Therefore, AE is widely used in monitoring the operating status of rolling bearing. This p...
متن کاملApplication of Wavelet Analysis Technology to Damage Detection of Acoustic Emission Signal
The technology of acoustic emission (AE) signal full waveform acquisition provides possibility of source location based on waveform analysis. According to fault character of AE signal, a new approach based on node-amplitude transform is introduced to locate AE sources, that is, the peak of amplitude is damage location. Meanwhile, using wavelet analysis and compress technology to manage extracti...
متن کاملThe Acoustic Emission Signal Recognition based on Wavelet Transform and RBF Neural Network
The acoustic emission (AE) technology can be used to assess the security condition of oil storage tank without opening pot. Signal recognition is a foundation to analyze the corrosion status for oil storage tanks. Because of inadequateness of the analysis method of parameters, a new acoustic emission signal recognition method is proposed based on wavelet transform and RBF neural network. AE sig...
متن کاملSignal Analysis based on Complex Wavelet Signs
Article history: Received 10 December 2014 Received in revised form 5 August 2015 Accepted 12 August 2015 Available online 18 August 2015 Communicated by Radu Balan MSC: 42C40 94A12 44A15
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chinese Journal of Mechanical Engineering
سال: 2019
ISSN: 1000-9345,2192-8258
DOI: 10.1186/s10033-019-0384-0