Fault Analysis and Diagnosis of Downhole Traction Robot Hydraulic System

Authors

  • Delei Fang Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Yong Xue Beijing Special Engineering Design Institution, Beijing, 100028, China
  • Guofeng Jia Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Pan Li Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China
  • Jie Tang Aviation Engineering Institute, Civil Aviation University of China, Tianjin, 300300, China
  • Xiaoming Wang Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

DOI:

https://doi.org/10.13052/ijfp1439-9776.2435

Keywords:

Fault analysis and diagnosis, downhole traction robot, hydraulic system, Mathematical Model

Abstract

Fault diagnosis of downhole traction robot has characteristics of special mechanical structure, complicated working condition and lack of research data. In this paper, a method of fault analysis and diagnosis of tractor hydraulic system based on model is presented. The failure mode and mechanism of key components in telescopic hydraulic system are analyzed. The fault diagnosis of hydraulic system is proposed based on the mathematical model of hydraulic component. Based on AMESim, the fault model of hydraulic system is established, and the diagnosis of single fault and multi-fault are simulated, which can collect the fault data and the specific diagnosis process. To carry forward the engineering application, the simulated internal leakage system in cylinder is set up and schemes of fault diagnosis are carried out, which prove that the diagnosis is consistent with theoretical analysis and simulation. The research on fault analysis and diagnosis of the downhole traction robot hydraulic system not only lays theoretical basis for the tractor fault detection, but also provides guidance for the construction and implementation of the diagnostic system.

Downloads

Download data is not yet available.

Author Biographies

Delei Fang, Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

Delei Fang received the B.S. degree from the Hebei University of Science and Technology and the M.S. degree from Yanshan University in 2014, and the Ph.D. degree from the National University of Defense Technology, Changsha, China, in 2018. He is currently a Lecturer with the Tianjin University of Science & Technology. His research areas include mobile robot, hydraulic system integration and energy efficient hydraulic components.

Yong Xue, Beijing Special Engineering Design Institution, Beijing, 100028, China

Yong Xue received the Ph.D. degree in mechanical engineering from the National University of Defense Technology, Changsha, China, in 2016. He is a researcher with Beijing Special Engineering Design Institution. His research interests in hydraulic machinery and equipment.

Guofeng Jia, Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

Guofeng Jia received the B.S. degree in vehicle engineering from Luoyang Institute of Technology, in 2020. He is currently working toward the M.S. degree at the Tianjin University of Science & Technology. His research interests include hydraulic control technology and fluid power component.

Pan Li, Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

Pan Li received the B.S. degree from the Department of Mechanical Engineering, Wuhan Polytechnic University, China in 2012. She received the Ph.D. degree at the Department of Mechanical Engineering, Tianjin University, Tianjin, China in 2019. She is currently a lecturer in Tianjin University of Science & Technology.

Jie Tang, Aviation Engineering Institute, Civil Aviation University of China, Tianjin, 300300, China

Jie Tang received the M.S. degree at the Department of Mechanical Engineering, Yanshan University, Qinhuangdao, China in 2010. He is currently an associate professor in Aviation Engineering Institute, Civil Aviation University of China. His research interests include fluid transmission and control.

Xiaoming Wang, Tianjin Key Laboratory of Integrated Design and On-line Monitoring for Light Industry & Food Machinery and Equipment, College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222, China

Xiaoming Wang received the Ph.D. degree at the Department of Mechanical Engineering, Tianjin University, Tianjin, China in 2009. He is currently a lecturer in Tianjin University of Science & Technology. His research interests include underwater vehicles and embedded control systems.

References

Liu Q, Zhao J, Zhu H, et al. Review, classification and structural analysis of downhole robots: core technology and prospects for application[J]. Robotics and Autonomous Systems, 2019, 115: 104–120.

Jianzhong Shang, Delei Fang, et al. Design and Analysis of a Hydraulic Drive Downhole Traction In-pipe Robot Based on Flexible Support Structure[J]. Proceedings of Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2021, 235(1):18–27.

Fang Delei, Shang Jianzhong, et al. Axiomatic Design for Purely Hydraulic Drive In-pipe Robot[J]. Journal of national university of defense technology. 2019, 41(6):63–69.

Saeed A, French A, Moore N B. Analysis and Case Study: Comparing CT Slim Tractor Performance Using Different CT Sizes in 3 Wells[C]//SPE/ICoTA Well Intervention Conference and Exhibition. OnePetro, 2020.

Duthie L, Saeed A, Shaheen S, et al. Design Transformation of Hydraulically Powered Coiled Tubing Tractors for Matrix Acidizing Stimulations in Extended Reach Carbonate Reservoirs[C]//Abu Dhabi International Petroleum Exhibition & Conference. OnePetro, 2017.

Murtaza S, Hajri M A, Saeed A S, et al. Deployment of One of Its Kind Slim Coiled Tubing Tractor to Overcome Reach Issue in Extended Reach Restricted Smart Completed Wells[C]//SPE Asia Pacific Oil & Gas Conference and Exhibition. OnePetro, 2020.

Sharifi, Siavash, Tivay, et al. Leakage fault detection in Electro-Hydraulic Servo Systems using a nonlinear representation learning approach[J]. ISA Transactions, 2018(73):154–164.

Raduenz H, Mendoza Y E A, Ferronatto D, et al. Online Fault Detection System for Proportional Hydraulic Valves[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2018, 40(7):331–338.

Effect Analysis of Leakage in the Middle Position and Improvement of an O-type 3-position-4-way Directional Valve with the Spool Structure[A]. Xuyao Mao, Chao Wu, Hongyuan Ding, Bin Li, Yiou Liu. Proceedings of 6th International Conference on Energy Materials and Environment Engineering, 2020, 508(1):012160.

Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines[J]. Jegadeeshwaran R, Sugumaran V. Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines[J]. Mechanical Systems and Signal Processing, 2015, 52:436–446.

He D, Hu N, Wang M. Study on real-time fault injection and simulation of mechanic-electronic-hydraulic control system based on AMESim and LabVIEW[C]// Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014. IEEE, 2014:446–450.

He Yuming, Peng Likun, Song Fei. Simulation Based on AMESim for Internal Leakage of Hydraulic Slide Valve[J]. Chinese Hydraulics & Pneumatics, 2018(5):74–80.

Bahrami M, Naraghi M, Zareinejad M. Adaptive super-twisting observer for fault reconstruction in electro-hydraulic systems[J]. Isa Transactions, 2018(76):235–245.

Zhou Xiaojun. Jiang Lehua. Gao Jingwei. Simulation Analysis for Inner Leakage of Hydraulic Cylinder Based on AMESim[J]. Machine Tool & Hydraulics. 2012, 40(23):147–150.

Zhang Jing, Hu Zhongquan, et al. Analysis of Leakage Fault Injection for A10VNO Pump Based on AMESim[J]. Hydraulics Pneumatics & Seals, 2021, 41(07):69–73.

Chen Minjie, Yang Rongjin. Fault Simulation and Diagnosis Technology of Hydraulic System for Hydraulic Support[J]. Chinese Hydraulics & Pneumatics, 2021(1):128–132.

Downloads

Published

2023-06-21

How to Cite

Fang, D. ., Xue, Y. ., Jia, G. ., Li, P. ., Tang, J. ., & Wang, X. . (2023). Fault Analysis and Diagnosis of Downhole Traction Robot Hydraulic System. International Journal of Fluid Power, 24(03), 513–536. https://doi.org/10.13052/ijfp1439-9776.2435

Issue

2023: Vol 24 Iss 3

Section

ICFPMCE 2022

Most read articles by the same author(s)