Next Article in Journal
Computer Methods for Automatic Locomotion and Gesture Tracking in Mice and Small Animals for Neuroscience Applications: A Survey
Next Article in Special Issue
Development of an On-Board Measurement System for Railway Vehicle Wheel Flange Wear
Previous Article in Journal
Investigation of Weigh-in-Motion Measurement Accuracy on the Basis of Steering Axle Load Spectra
Article

Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion

1
Downhole Measurement & Control Research Department, National Engineering Laboratory of Petroleum Drilling Technology, Xi’an Shiyou University, Xi’an 710065, China
2
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(15), 3273; https://doi.org/10.3390/s19153273
Received: 26 May 2019 / Revised: 12 July 2019 / Accepted: 23 July 2019 / Published: 25 July 2019
(This article belongs to the Special Issue Achieving Predictive Maintenance using Sensors: Real or Fantasy?)
To improve the performance of acoustic logging tool in detecting three-dimensional formation, larger and more complicated transducer arrays have been used, which will greatly increase the difficulty of fault diagnosis during tool assembly and maintenance. As a result, traditional passive diagnostic methods become inefficient, and very skilled assemblers and maintainers are required. In this study, fault-diagnosis requirement for the acoustic logging tool at different levels has been analyzed from the perspective of the tool designer. An intelligent fault-diagnosis system consisting of a master-slave hardware architecture and a systemic diagnosis strategy was developed. The hardware system is based on the embedded technology, while the diagnosis strategy is built upon fault-tree analysis and data-driven methods. Diagnostic practice shows that this intelligent system can achieve four levels of fault diagnosis for the acoustic logging tool: System, subsystem, circuit board, and component. This study provided a more rigorous and professional fault diagnosis during tool assembly and maintenance. It is expected that this proposed method would be of great help in achieving cost reduction and improving work efficiency. View Full-Text
Keywords: fault diagnosis; embedded technology; acoustic logging; transducer array; data-driven technique; fault tree analysis fault diagnosis; embedded technology; acoustic logging; transducer array; data-driven technique; fault tree analysis
Show Figures

Figure 1

MDPI and ACS Style

Hao, X.; Ju, X.; Lu, J.; Men, B.; Zhou, J. Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion. Sensors 2019, 19, 3273. https://doi.org/10.3390/s19153273

AMA Style

Hao X, Ju X, Lu J, Men B, Zhou J. Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion. Sensors. 2019; 19(15):3273. https://doi.org/10.3390/s19153273

Chicago/Turabian Style

Hao, Xiaolong, Xiaodong Ju, Junqiang Lu, Baiyong Men, and Jing Zhou. 2019. "Intelligent Fault-Diagnosis System for Acoustic Logging Tool Based on Multi-Technology Fusion" Sensors 19, no. 15: 3273. https://doi.org/10.3390/s19153273

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop