Full-life dynamic identification of wear state based on on-line wear debris image features
- 1 January 2014
- journal article
- Published by Elsevier BV in Mechanical Systems and Signal Processing
- Vol. 42 (1-2), 404-414
- https://doi.org/10.1016/j.ymssp.2013.08.032
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation of China (51275381)
- the China Scholarship Council financial support (201206285002)
- China Postdoctoral Science Foundation (201003672)
This publication has 14 references indexed in Scilit:
- Engine Wear Monitoring with OLVFTribology Transactions, 2011
- Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenanceReliability Engineering & System Safety, 2010
- A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance PolicyIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2007
- Towards the development of an automated wear particle classification systemTribology International, 2006
- Calculation of reliability function and remaining useful life for a Markov failure time processIMA Journal of Management Mathematics, 2006
- Wear particle analysis—utilization of quantitative computer image analysis: A reviewTribology International, 2005
- A prognostic algorithm for machine performance assessment and its applicationProduction Planning & Control, 2004
- A condition-based failure-prediction and processing-scheme for preventive maintenanceIEEE Transactions on Reliability, 2003
- ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCHMechanical Systems and Signal Processing, 2002
- Support vector domain descriptionPattern Recognition Letters, 1999