Results 141 to 150 of about 2,636 (193)

Cross-attention-based hybrid feature fusion network for state-of-health estimation of lithium-ion batteries. [PDF]

Sci Rep
Zhao Y, Geng L, Meng W, Meng J, Wu C, Hu X, Du Z.   +6 more
europepmc   +1 more source

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]

Sensors (Basel)
He Z, Shi T, Chen X.
europepmc   +1 more source

Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data. [PDF]

Sci Rep
Li W, Li T.
europepmc   +1 more source

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder. [PDF]

Sensors (Basel)
Gao Y, Ahmad Z, Kim JM.
europepmc   +1 more source

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Prognostics and Health Management (PHM) System requirements and validation

2010 Prognostics and System Health Management Conference, 2010
This paper based on four key abilities of the Prognostics and Health Management (PHM) System including the abilities of fault detection, fault isolation, fault prognosis and prognosis of the remaining life, analyzes and constructs a framework of the PHM quantitative requirements, and defines the quantitative assessment emphasis of the PHM abilities ...
null Ping Xu, null Zili Wang, null Vue Li   +2 more
exaly   +2 more sources

Special Section on Prognostics and Systems Health Management (PHM), Extended Papers From the PHM Macau 2010 Conference

IEEE Transactions on Reliability, 2011
The six papers in this special section were selected from the best papers presented in the PHM Macau 2010 conference. The papers were significantly extended from the conference papers, so are unique and significant work vetted through peer review.
Wenbin Wang
exaly   +3 more sources

A review on prognostics and health management (PHM) methods of lithium-ion batteries

Renewable and Sustainable Energy Reviews, 2019
Abstract Batteries are prevalent energy providers for modern systems. They can also be regarded as storage units for renewable and sustainable energy. Failures of batteries can bring huge losses in terms of personnel, facility, environment, and reputation aspects. Therefore the accurate health estimation and high availability of batteries is urgently
Yan-Fu Li, Huixing Meng
exaly   +2 more sources

Stirling cryocooler prognostics and health management (PHM)

2009 IEEE AUTOTESTCON, 2009
Tactical Stirling cryocoolers are life-limited components used in many IR sensing systems. Thousands are deployed in commercial and military systems. Using prognostics to predict impending failures will allow cryocooler replacement when it is convenient and cost-effective, rather than during system operation. This both reduces cost and improves mission
Paul H. Barton, Robert Ogden
openaire   +1 more source