Design of fault diagnosis algorithm for electric fan based on LSSVM and Kd-Tree

Author:

Hu Kongzhi,Jiang MingORCID,Zhang Haifeng,Cao Sheng,Guo Ziyi

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference42 articles.

1. Qian W (2019) Key causes and diagnosis technology of automobile machinery faults [J]. Shandong Ind Technol 15:38

2. Song Y, Wu K, Chu N, et al. (2019) Research on common fault diagnosis methods of subway fans based on modulation intensity [J]. Fan Technol 1:77–81

3. Gao ZW, Cecati C, Ding SX (2015) A survey of fault diagnosis and Fault-Tolerant techniques-Part i: fault diagnosis with Model-Based and Signal-Based approaches [J]. IEEE Trans Ind Electron 62(6):3757–3767

4. Li YQ, Yang TS, Liu J, et al. (2016) A fault diagnosis method by multi sensor fusion for spacecraft control system sensors[C]. In: 2016 IEEE international conference on mechatronics and automation, pp 748–753

5. Cui L, Huang J, Zhang F (2017) Quantitative and localization diagnosis of a defective ball bearing based on vertical-horizontal synchronization signal analysis. IEEE Trans Ind Electron 64(11):8695–8705

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