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Titlebook: Data-Driven Technology for Engineering Systems Health Management; Design Approach, Fea Gang Niu Book 2017 Springer Science+Business Media S

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21#
發(fā)表于 2025-3-25 06:58:35 | 只看該作者
Feature Selection Optimization,Reduction of feature dimensionality is a considerable importance data-driven PHM/CBM. The reason for being so is twofold: to reduce the computational complexity and to improve the algorithm’s generalization ability.
22#
發(fā)表于 2025-3-25 09:04:52 | 只看該作者
Intelligent Fault Diagnosis Methodology,There are many approaches that can be used to design a data-driven diagnosis algorithm. Usually, we divide them into three strategies.
23#
發(fā)表于 2025-3-25 12:45:49 | 只看該作者
Science of Prognostics,The word . comes from the Greek . (of knowledge beforehand). It combines . (before) and . (a knowing). Hippocrates used the word prognosis, much as we do today, to mean a foretelling of the course of a disease. In the field of engineering systems health management, prognosis is regarded as science and often called prognostics.
24#
發(fā)表于 2025-3-25 17:19:39 | 只看該作者
25#
發(fā)表于 2025-3-25 23:38:01 | 只看該作者
System Support and Logistics,. . . are the terms used to describe all the processes, personnel, equipment, and facilities necessary to support a system during its intended life.
26#
發(fā)表于 2025-3-26 00:28:23 | 只看該作者
27#
發(fā)表于 2025-3-26 05:20:02 | 只看該作者
28#
發(fā)表于 2025-3-26 09:56:22 | 只看該作者
29#
發(fā)表于 2025-3-26 13:49:24 | 只看該作者
30#
發(fā)表于 2025-3-26 16:58:14 | 只看該作者
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