Predictive maintenance in dynamic systems advanced methods, decision support tools and real-world applications /
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, con...
| Other Authors: | Lughofer, Edwin,, Sayed-Mouchaweh, Moamar,, SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2019]
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| Physical Description: |
1 online resource. |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |