Low Speed Bearing Fault Diagnosis Based on EMD-CIIT Histogram Entropy and KFCM Clustering

Author:

Zhang Ke,Lin Tianran,Jin Xia

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference20 articles.

1. MBA D, RAO R B K N. Development of acoustic emission technology for condition monitoring and diagnosis of rotating machines: bearings, pumps, gearboxes, engines, and rotating structures [J]. Shock and Vibration Digest, 2006, 38(1): 3–16.

2. SMITH J D. Vibration monitoring of bearings at low speeds [J]. Tribology International, 1982, 15(3): 139–144.

3. YOSHIOKA T, FUJIWARA T. Application of acoustic emission o detection of rolling bearing failure [J]. ASME: Production Engineering Division Publication, 1984, 14: 55–76.

4. MIETTINEN J, PATANIITTY P. Acoustic emission in monitoring extremely slowly rotating rolling bearing [M]//MCINTYRE J, SLEEMAN D. Proceedings of COMADEM’99. Oxford, UK: Coxmoor Publishing, 1999: 289–297.

5. VAN HECKE B, YOON J, HE D. Low speed bearing fault diagnosis using acoustic emission sensors [J]. Applied Acoustics, 2016, 105: 35–44.

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