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Application of Vector Time Series Modeling and T-squared Control Chart to Detect Early Gearbox Deterioration

Volume 10, Number 1, January 2014 - Paper 11 - pp. 105-114

CHEN LIN and VILIAM MAKIS

Department of Mechanical and Industrial Engineering, University of Toronto, 5 King’s College Road, Toronto, ON M5S 3G8, CANADA

(Received on January 27, 2013, revised on August 13, 2013)

Abstract:

Condition monitoring vibration data is widely used to assess the health condition of the gearbox. The objective of this paper is to develop a scheme for early fault detection of a gearbox under varying load condition by considering multi-sensor vibration data. Time synchronous averaging (TSA) method is used to reduce the noise and then remove the periodic signals from the data. Several vector auto-regressive (VAR) models are fitted to the historical data obtained in healthy gearbox condition considering different load levels. After testing the independence and multivariate normality of residual data, a multivariate Hotelling’s T-squared control chart is applied to detect the early fault occurrence of a gearbox.

 

References: 26

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