Application of Time-Series Data Mining for Fault Diagnosis of Induction Motors

Author:

Bae Hyeon,Kim Sungshin,Kim Yon Tae,Lee Sang-Hyuk

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Vas, P.: Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines. Clarendron Press, Oxford (1993)

2. Kliman, G.B., Stein, J.: Induction motor fault detection via passive current monitoring. In: International Conference in Electrical Machines, Cambridge, MA, August 1990, pp. 13–17 (1990)

3. Abbaszadeh, K., Milimonfared, J., Haji, M., Toliyat, H.A.: Broken Bar Detection In Iduction Motor via Wavelet Transformation. In: IECON 2001: The 27th Annual Conference of the IEEE Industrial Electronics Society, pp. 95–99 (2001)

4. Zhongming, Y.E., Bin, W.U.: A Review on Induction Motor Online Fault Diagnosis. In: The Third International Power Electronics and Motion Control Conference (PIEMC 2000), August 15-18, vol. 3, pp. 1353–1358 (2000)

5. Haji, M., Toliyat, H.A.: Patern Recognition-A Technique for Induction Machines Rotor Fault Detection Eccentricity and Broken Bar Fault. In: Conference Record of the 2001 IEEE Industry Applications Conference, September 30-October 4, vol. 3, pp. 1572–1578 (2001)

Cited by 2 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

1. Applications of DC Motors;Advances in Computer and Electrical Engineering;2015

2. Detection of Stator, Bearing and Rotor Faults in Induction Motors;Procedia Engineering;2012

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