Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems
Gorde:
| Egile nagusia: | |
|---|---|
| Beste egile batzuk: | , |
| Formatua: | eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Springer Nature,
2023.
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| Gaiak: | |
| Sarrera elektronikoa: | Access eBook |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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MARC
| LEADER | 00000nam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | 22084 | ||
| 005 | 20261004182445.0 | ||
| 008 | 261004s2023 o 000 eng | ||
| 020 | |a 978-981-16-9131-7 | ||
| 100 | 1 | |a Lei, Yaguo |9 47395 | |
| 700 | 1 | |a Li, Naipeng |9 47396 | |
| 700 | 1 | |a Li, Xiang |9 35806 | |
| 245 | 0 | 0 | |a Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems |
| 260 | |b Springer Nature, |c 2023. | ||
| 300 | |a 1 online resource | ||
| 650 | 4 | |a Engineering | |
| 538 | |a Mode of access: World Wide Web. | ||
| 856 | 4 | 0 | |u https://library.mist.ac.bd/ebooks/8555/go?src=vufind |z Access eBook |
| 942 | |c EBOOK | ||
| 999 | |c 22084 |d 22084 | ||