Tool condition monitoring framework for predictive maintenance: a case study on milling process (Unknown)
- New search for: Traini, E.
- New search for: Bruno, G.
- New search for: Lombardi, F.
- New search for: Traini, E.
- New search for: Bruno, G.
- New search for: Lombardi, F.
In:
International Journal of Production Research
;
59
, 23
;
7179-7193
;
2021
- Article (Journal) / Electronic Resource
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Title:Tool condition monitoring framework for predictive maintenance: a case study on milling process
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Contributors:
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Published in:International Journal of Production Research ; 59, 23 ; 7179-7193
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Publisher:
- New search for: Taylor & Francis
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Publication date:2021-12-02
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Size:15 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
Table of contents – Volume 59, Issue 23
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 6995
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Maintenance policies with minimal repair and replacement on failures: analysis and comparisonLarbi Rebaiaia, Mohamed / Ait-kadi, Daoud et al. | 2021
- 7018
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An effective and efficient divide-and-conquer algorithm for energy consumption optimisation problem in long Bernoulli serial linesYan, Chao-Bo / Zheng, Ziqian et al. | 2021
- 7037
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The roles of crowdfunding: financing, point provision and ex-post productionXu, Yang / Song, Wen / Bi, Gong-bing et al. | 2021
- 7057
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Disclosing the formation and value creation of servitization through influential factors: a systematic review and future research agendaNiu, Yimeng / Jiang, Zhibin / Geng, Na / Jiang, Shan et al. | 2021
- 7090
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Impact of financial risk on supply chains: a manufacturer-supplier relational perspectiveGhadge, Abhijeet / Jena, Sarat Kumar / Kamble, Sachin / Misra, Dheeraj / Tiwari, Manoj Kumar et al. | 2021
- 7106
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Fostering low-carbon production and logistics systems: framework and empirical evidenceLopes de Sousa Jabbour, Ana Beatriz / Chiappetta Jabbour, Charbel Jose / Sarkis, Joseph / Latan, Hengky / Roubaud, David / Godinho Filho, Moacir / Queiroz, Maciel et al. | 2021
- 7126
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Multi robots interactive control using mixed realityOstanin, M. / Yagfarov, R. / Devitt, D. / Akhmetzyanov, A. / Klimchik, A. et al. | 2021
- 7139
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Industrial big-data-driven and CPS-based adaptive production scheduling for smart manufacturingQiao, Fei / Liu, Juan / Ma, Yumin et al. | 2021
- 7160
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Product quality and quantity with responsive pricingYu, Yugang / Wang, Yanjun / Liu, Yan et al. | 2021
- 7179
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Tool condition monitoring framework for predictive maintenance: a case study on milling processTraini, E. / Bruno, G. / Lombardi, F. et al. | 2021
- 7194
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A novel approach for non-normal multi-response optimisation problemsWang, Jianjun / Tu, Yanan / Ma, Yan / Ouyang, Linhan / Tu, Yiliu et al. | 2021
- 7216
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Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operationsRen, Weibo / Wen, Jingqian / Yan, Yan / Hu, Yaoguang / Guan, Yu / Li, Jinliang et al. | 2021
- 7232
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Cooperated teaching-learning-based optimisation for distributed two-stage assembly flow shop schedulingLei, Deming / Su, Bin / Li, Ming et al. | 2021
- 7246
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Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensembleLi, Debiao / Chen, Siping / Chiong, Raymond / Wang, Liting / Dhakal, Sandeep et al. | 2021
- 7266
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Effective heuristics and metaheuristics to minimise total tardiness for the distributed permutation flowshop scheduling problemKhare, Ankit / Agrawal, Sunil et al. | 2021
- 7283
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An examination of the generative mechanisms of value in big data-enabled supply chain management researchMeriton, Royston / Bhandal, Rajinder / Graham, Gary / Brown, Anthony et al. | 2021