TY - JOUR
T1 - A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
AU - Li, Chuan
AU - De Oliveira, Jose Valente
AU - Cerrada, Mariela
AU - Cabrera, Diego
AU - Sanchez, Rene Vinicio
AU - Zurita, Grover
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, radars, turbines, etc.) that have been identified as one of the primary causes of failure in these machines. This makes bearing fault diagnosis (detection, classification, and prognosis) an economic very relevant topic, as well as a technically challenging one as evaluated by the extensive research literature on the subject. This paper employs a systematic methodology to identify, summarize, analyze, and interpret the primary literature on fuzzy formalisms for bearing fault diagnosis from 2000 to 2017 (March). The main contribution is an updated, unbiased, and (to a higher extend) repeatable search, review, and analysis (summary, classification, and critique) of the available approaches resorting to fuzzy formalisms in this trendy topic. A discussion on a new promising future research direction is provided. A comprehensive list of references is also included.
AB - Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, radars, turbines, etc.) that have been identified as one of the primary causes of failure in these machines. This makes bearing fault diagnosis (detection, classification, and prognosis) an economic very relevant topic, as well as a technically challenging one as evaluated by the extensive research literature on the subject. This paper employs a systematic methodology to identify, summarize, analyze, and interpret the primary literature on fuzzy formalisms for bearing fault diagnosis from 2000 to 2017 (March). The main contribution is an updated, unbiased, and (to a higher extend) repeatable search, review, and analysis (summary, classification, and critique) of the available approaches resorting to fuzzy formalisms in this trendy topic. A discussion on a new promising future research direction is provided. A comprehensive list of references is also included.
KW - Bearing
KW - fault classification
KW - fault detection
KW - fault diagnosis
KW - fault prognosis
KW - fuzzy clustering
KW - fuzzy entropy
KW - fuzzy rules
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055678421&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85055678421&origin=inward
UR - http://www.mendeley.com/research/systematic-review-fuzzy-formalisms-bearing-fault-diagnosis
U2 - 10.1109/TFUZZ.2018.2878200
DO - 10.1109/TFUZZ.2018.2878200
M3 - Article
SN - 1063-6706
VL - 27
SP - 1362
EP - 1382
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
IS - 7
M1 - 8510832
ER -