Proceedings ArticleDOI
A similarity-based prognostics approach for Remaining Useful Life estimation of engineered systems
Tianyi Wang,Jianbo Yu,David Siegel,Jay Lee +3 more
- pp 1-6
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TLDR
This approach is used to tackle the data challenge problem defined by the 2008 PHM Data Challenge Competition, in which, run-to-failure data of an unspecified engineered system are provided and the RUL of a set of test units will be estimated.Abstract:
This paper presents a similarity-based approach for estimating the Remaining Useful Life (RUL) in prognostics. The approach is especially suitable for situations in which abundant run-to-failure data for an engineered system are available. Data from multiple units of the same system are used to create a library of degradation patterns. When estimating the RUL of a test unit, the data from it will be matched to those patterns in the library and the actual life of those matched units will be used as the basis of estimation. This approach is used to tackle the data challenge problem defined by the 2008 PHM Data Challenge Competition, in which, run-to-failure data of an unspecified engineered system are provided and the RUL of a set of test units will be estimated. Results show that the similarity-based approach is very effective in performing RUL estimation.read more
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Journal ArticleDOI
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
TL;DR: A unified 5-level architecture is proposed as a guideline for implementation of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space.
Journal ArticleDOI
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
TL;DR: A review on machinery prognostics following its whole program, i.e., from data acquisition to RUL prediction, which provides discussions on current situation, upcoming challenges as well as possible future trends for researchers in this field.
Book ChapterDOI
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
TL;DR: A novel deep Convolutional Neural Network (CNN) based regression approach for estimating the Remaining Useful Life (RUL) of a subsystem or a component using sensor data, which has many real world applications.
Journal ArticleDOI
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
TL;DR: A multiobjective deep belief networks ensemble (MODBNE) method that employs a multiobjectives evolutionary algorithm integrated with the traditional DBN training technique to evolve multiple DBNs simultaneously subject to accuracy and diversity as two conflicting objectives is proposed.
Journal ArticleDOI
Failure diagnosis using deep belief learning based health state classification
TL;DR: A novel multi-sensor health diagnosis method using deep belief network (DBN) that is compared with four existing diagnosis techniques to demonstrate the efficacy of the proposed approach.
References
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Journal ArticleDOI
A prognostic algorithm for machine performance assessment and its application
Jihong Yan,Muammer Koç,Jay Lee +2 more
TL;DR: In this paper, the authors explore a method to assess assets performance and predict the remaining useful life, which would lead to proactive maintenance processes to minimize downtime of machinery and production in various industries, thus increasing efficiency of operations and manufacturing.