Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Reference48 articles.
1. Aditi BP, Jitendra AG, Jayant VK (2016) Bearing fault diagnosis using discrete wavelet transform and artificial neural network. In: IEEE conference on applied and theoretical computing and communication technology (iCATccT), pp 394–405.
2. Ahmed H, Nandi AK (2018) Compressive sampling and fature ranking framework for bearing fault classification with vibration signals. IEEE Access 6:44731–44746
3. Asfani DA, Muhammad AK, Syafaruddin PMH, Hiyama T (2012) Temporary short circuit detection in induction motor winding using combination of wavelet transform and neural network. Expert Syst Appl 39(5):5367–5375
4. Bai H, Fu H, Wang J, Ma K, Wu T, Ma J (2018) A prediction model of ionospheric foF2 based on extreme learning machine. Radio Sci 53:1292–1301
5. Benbouzid M, Kliman G (2003) What stator current processing-based technique to use for induction motor rotor faults diagnosis. IEEE Trans Energy Convers 18:238–244
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献