Multi-Stage Combination Prediction Model of Technical Condition Parameters of Equipment

Abstract:

Technical condition parameters prediction is one of key steps in CBM (Condition based Maintenance). As disadvantage of traditional methods, Base on theory of combination prediction, combining with Delay Time and two-stage prediction model, multi-stage combination prediction model is proposed. The model can solve the problem that complicated rule of variation in equipment condition and uncertainty characteristic. Through lubricating oil analysis and correlated prescribing, operation phase of equipment is parted. At the same time, every method adapt to every stage is found. The result shows the model works well and effectively.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1994-2000
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1994
• Online since: September 2014
• Authors: Shi Xin Zhang, Xiang Zan*, Yi Zheng, Yan Chao Liu
• Keywords: Elman Neural Network (ENN), Grey Prediction, Multi-Stage Combination Prediction, Technical Condition Parameter

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