Fault diagnosis for machinery based on feature extraction and general regression neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/article/10.1007/s13198-018-0726-9/fulltext.html
Reference32 articles.
1. Bartelmus W, Zimroz R (2009a) A new feature for monitoring the condition of gearboxes in non-stationary operating conditions. Mech Syst Signal Process 23:1528–1534
2. Bartelmus W, Zimroz R (2009b) Vibration condition monitoring of planetary gearbox under varing external load. Mech Syst Signal Process 23:246–257
3. Chen WH, Chen JH, Shao SC (2012) Data preprocessing using hybrid general regression neural networks and particle swarm optimization for remote terminal units. Int J Control Autom Syst 10:407–414
4. Fault data sets (2013) http://www.mfpt.org/FaultData/FaultData.htm . Accessed on 10 April 2013
5. Fei S (2017) Fault diagnosis of bearing based on wavelet packet transform-phase space reconstruction-singular value decomposition and SVM classifier. Arab J Sci Eng 42:1967–1975
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