TY - GEN
T1 - Gear fault signal modeling and detection based on alpha stable distribution
AU - Yu, Gang
AU - Shi, Ningning
PY - 2012
Y1 - 2012
N2 - Due to limited information given by traditional local statistics, a new statistical modeling method for gear fault signals is proposed based on alpha-stable distribution. In order to fully take advantages of complete information provided by alpha-stable distribution, this paper focuses on testing the validity of the proposed statistical model. In the meantime, a new gear fault detection method based on an integrated parameter of alpha-stable model is proposed, which has shown better prospects than that based on traditional kurtosis.
AB - Due to limited information given by traditional local statistics, a new statistical modeling method for gear fault signals is proposed based on alpha-stable distribution. In order to fully take advantages of complete information provided by alpha-stable distribution, this paper focuses on testing the validity of the proposed statistical model. In the meantime, a new gear fault detection method based on an integrated parameter of alpha-stable model is proposed, which has shown better prospects than that based on traditional kurtosis.
KW - Statistical modeling
KW - alpha-stable distribution
KW - gear fault
KW - kurtosis
UR - https://www.scopus.com/pages/publications/84869159139
U2 - 10.1109/MSNA.2012.6324624
DO - 10.1109/MSNA.2012.6324624
M3 - 会议稿件
AN - SCOPUS:84869159139
SN - 9781467324670
T3 - Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
SP - 471
EP - 474
BT - Proceedings - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
T2 - 2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012
Y2 - 25 August 2012 through 28 August 2012
ER -