1-2 of 2
Keywords: machinery fault diagnosis
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Proc. ASME. MSEC2020, Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T09A006, September 3, 2020
Paper No: MSEC2020-8236
...Abstract Abstract The rotor stand vibration signals carry abundant dynamic information of the machinery and are sometimes very useful in the machinery fault diagnosis. Due to the difficulty of recognition for the non-stationery signals, many traditional ways have been discussed and made...
Proceedings Papers

Proc. ASME. MSEC2019, Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing, V001T02A013, June 10–14, 2019
Paper No: MSEC2019-2785
... is adopted to simplify and update atoms. The re- sults of the numerical simulation and experimental application show that the proposed SVDL method outperforms the classical K-SVD method for vibration signal denoising and fault feature extraction. Keywords: Machinery fault diagnosis, signal priors, sparse...