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Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data.
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis
Models are trained as a supervised regression and designed to output the RUL as well as a latent variable map that can be used and interpreted as the system's health indicator.
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