By Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu
This ebook introduces data-driven closing priceless lifestyles analysis recommendations, and exhibits the best way to make the most of the tracking information to foretell the rest invaluable lifetime of stochastic degrading platforms and to time table upkeep and logistics plans. it's also the 1st booklet that describes the elemental data-driven final valuable existence diagnosis conception systematically and intimately.
The emphasis of the ebook is at the stochastic versions, equipment and functions hired in ultimate necessary lifestyles analysis. It features a wealth of decay tracking test facts, sensible diagnosis equipment for last helpful lifestyles in numerous instances, and a sequence of purposes included into prognostic info in decision-making, akin to maintenance-related judgements and ordering spare elements. It additionally highlights the newest advances in data-driven last necessary existence diagnosis options, specifically within the contexts of adaptive diagnosis for linear stochastic degrading structures, nonlinear degradation modeling established diagnosis, residual garage existence analysis, and prognostic information-based decision-making.
Read or Download Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering) PDF
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Data-Driven Remaining Useful Life Prognosis Techniques: Stochastic Models, Methods and Applications (Springer Series in Reliability Engineering) by Xiao-Sheng Si,Zheng-Xin Zhang,Chang-Hua Hu