Performance evaluation for tool wear prediction based on bi-directional, encoder-decoder and hybrid long short-term memory models
Satish Kumar, Tushar Kolekar, Ketan Kotecha and Shruti Patil and Arunkumar Bongale
| Year of publication: |
2022
|
|---|---|
| Authors: | Kumar, Satish ; Kolekar, Tushar ; Kotecha, Ketan ; Patil, Shruti ; Bongale, Arunkumar |
| Published in: |
International journal of quality & reliability management. - Bingley : Emerald, ISSN 1758-6682, ZDB-ID 1466792-7. - Vol. 39.2022, 7, p. 1551-1576
|
| Subject: | Feature extraction | Hybrid LSTM | NASA milling data set | Remaining useful life | Tool wear |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1108/IJQRM-08-2021-0291 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013397850