| 書目名稱 | Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment |
| 編輯 | Changhua Hu,Hongdong Fan,Zhaoqiang Wang |
| 視頻video | http://file.papertrans.cn/829/828195/828195.mp4 |
| 概述 | Presents nine key modeling methods for remaining life prediction.Includes successful applications in real-world products.Offers a valuable reference guide for researchers |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Degradation Modelling; Residual Life Prediction; Wiener Process; Support Vector Machines; Maintenance; qu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-2267-0 |
| isbn_softcover | 978-981-16-2269-4 |
| isbn_ebook | 978-981-16-2267-0 |
| copyright | National Defense Industry Press 2022 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-12 09:21
發(fā)表于 2025-3-21 18:11:48
