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Items: 7


A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.

Zhen D, Guo J, Xu Y, Zhang H, Gu F.

Sensors (Basel). 2019 Sep 16;19(18). pii: E3994. doi: 10.3390/s19183994.


Fault Identification for a Closed-Loop Control System Based on an Improved Deep Neural Network.

Sun B, Wang J, He Z, Zhou H, Gu F.

Sensors (Basel). 2019 May 8;19(9). pii: E2131. doi: 10.3390/s19092131.


Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.

Tang X, Wang X, Cattley R, Gu F, Ball AD.

Sensors (Basel). 2018 Nov 23;18(12). pii: E4113. doi: 10.3390/s18124113. Review.


Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system.

Wang J, Wang Z, Stetsyuk V, Ma X, Gu F, Li W.

ISA Trans. 2019 Mar;86:276-286. doi: 10.1016/j.isatra.2018.10.044. Epub 2018 Nov 5.


Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis.

Guo J, Shi Z, Li H, Zhen D, Gu F, Ball AD.

Sensors (Basel). 2018 Sep 1;18(9). pii: E2908. doi: 10.3390/s18092908.


A novel procedure for diagnosing multiple faults in rotating machinery.

Wang Z, Han Z, Gu F, Gu JX, Ning S.

ISA Trans. 2015 Mar;55:208-18. doi: 10.1016/j.isatra.2014.09.006. Epub 2014 Nov 11.


The recovery of weak impulsive signals based on stochastic resonance and moving least squares fitting.

Jiang K, Xu G, Liang L, Tao T, Gu F.

Sensors (Basel). 2014 Jul 29;14(8):13692-707. doi: 10.3390/s140813692.

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