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Sensors 2012, 12(2), 2005-2017; doi:10.3390/s120202005

A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes

State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an 710049, China
State Key Laboratory of Mechanical Transmission, Chongqing University, No. 174 Shazhengjie, Chongqing 400044, China
Author to whom correspondence should be addressed.
Received: 14 December 2011 / Revised: 16 January 2012 / Accepted: 21 January 2012 / Published: 10 February 2012
(This article belongs to the Section Physical Sensors)
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Studies on fault detection and diagnosis of planetary gearboxes are quite limited compared with those of fixed-axis gearboxes. Different from fixed-axis gearboxes, planetary gearboxes exhibit unique behaviors, which invalidate fault diagnosis methods that work well for fixed-axis gearboxes. It is a fact that for systems as complex as planetary gearboxes, multiple sensors mounted on different locations provide complementary information on the health condition of the systems. On this basis, a fault detection method based on multi-sensor data fusion is introduced in this paper. In this method, two features developed for planetary gearboxes are used to characterize the gear health conditions, and an adaptive neuro-fuzzy inference system (ANFIS) is utilized to fuse all features from different sensors. In order to demonstrate the effectiveness of the proposed method, experiments are carried out on a planetary gearbox test rig, on which multiple accelerometers are mounted for data collection. The comparisons between the proposed method and the methods based on individual sensors show that the former achieves much higher accuracies in detecting planetary gearbox faults. View Full-Text
Keywords: planetary gearboxes; multiple sensors; data fusion; sun gear; fault detection planetary gearboxes; multiple sensors; data fusion; sun gear; fault detection

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Lei, Y.; Lin, J.; He, Z.; Kong, D. A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes. Sensors 2012, 12, 2005-2017.

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