Gearbox vibration monitoring using extended Kalman filters and hypothesis tests

• Published in: Journal of sound and vibration Vol. 325; no. 3; pp. 629 - 648
• Main Authors: Shao, Yimin, Mechefske, Chris K.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 21.08.2009; Elsevier
• Subjects: Applied sciences; Drives; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Gears; Industrial metrology. Testing; Measurement and testing methods; Mechanical engineering. Machine design; Physics; Solid mechanics; Structural and continuum mechanics; Time frequency domain method; Kolmogorov Smirnov test; Goodness of fit test; Kalman filter; Durability; Non parametric estimation; Autoregressive model; Maintenance; Decision analysis; Experimental study; Modeling; Gear; Optimization; Operating conditions; Time varying system; Gear drive; Lifetime; Wavelet transformation; Automatic monitoring; Monitoring; Gear box; Constant load; Dynamic load; Visual control

The efficiency of many maintenance programs is heavily dependent on the detection accuracy of the condition monitoring system. Condition indicators that are sensitive to environmental or operational variables of no interest will inevitably reflect irrelevant fluctuations and thus mislead the subsequ...