Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment (Hardcover, 1st ed. 2022)

This book addresses remaining life prediction and predictive maintenance of equipment. It systematically summarizes the key research findings made by the author and his team and focuses on how to create equipment performance degradation and residual life prediction models based on the performance monitoring data produced by currently used and historical equipment. Some of the theoretical results covered here have been used to make remaining life predictions and maintenance-related decisions for aerospace products such as gyros and platforms. Given its scope, the book offers a valuable reference guide for those pursuing theoretical or applied research in the areas of fault diagnosis and fault-tolerant control, remaining life prediction, and maintenance decision-making.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	July 2021
First published:	2022
Authors:	Changhua Hu • Hongdong Fan • Zhaoqiang Wang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	270
Edition:	1st ed. 2022
ISBN-13:	978-981-16-2266-3
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Optimization > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	981-16-2266-3
Barcode:	9789811622663

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