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Natural Language based Information in Intelligent Condition Monitoring and Control

Vertaisarvioitu
DOI
10.1784/cm2024.6b1
Juuso, Esko K.
Proceedings of the international conference on condition monitoring and asset management2024

Artificial Intelligence-Based Condition Monitoring and Predictive Maintenance of Medium Voltage Cables: An Integrated System Development Approach

Vertaisarvioitu
Avoin saatavuus
DOI
10.23919/cmd62064.2024.10766104
Kumar, Haresh; Shafiq, Muhammad; Kauhaniemi, Kimmo; Elmusrati, Mohammed
IEEE International conference on condition monitoring and diagnosis2024

Wireless communication methods in condition monitoring

Vertaisarvioitu
Halme, Jari; Vidqvist, Ville; Helle, Aino
16th International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2...2003

Integration of natural language in intelligent condition monitoring

Vertaisarvioitu
DOI
10.1784/cm.2019.223
Juuso, E.K.
International Conference on Condition Monitoring and Asset Management2019

Condition monitoring of rotating machinery: How do we detect wear?

Jantunen, Erkki
Maintenance, Condition Monitoring and Diagnostics2005

Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring

Vertaisarvioitu
DOI
10.1007/978-981-99-1988-8_7
Juuso, Esko K.
Lecture notes in mechanical engineering2023

Unified signal and data analysis for integration of condition monitoring and intelligent control

Vertaisarvioitu
Juuso, Esko K
International Conference on Condition Monitoring and Asset Management2022

Agent and Web Technologies in Condition Monitoring and Maintenance

Vertaisarvioitu
Campos, Jaime; Prakash, Om; Jantunen, Erkki
20th International Congress on Condition Monitoring and Diagnostix Engineering Management, COMADEM 2...2007

Tribology as basis for machinery condition diagnostics and prognostics: (Keynote paper)

Vertaisarvioitu
Holmberg, Kenneth; Helle, Aino
19th International Congress Condition Monitoring and Diagnostic Engineering Management, COMADEM 20062006

Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks

Vertaisarvioitu
DOI
10.1109/CMD.2012.6416309
Hashmi, Murtaza; Lehtonen, M.; Hänninen, Seppo
IEEE International Conference on Condition Monitoring and Diagnosis, CMD 20122012

Natural Language based Information in Intelligent Condition Monitoring and Control

Vertaisarvioitu
DOI
10.1784/cm2024.6b1
2024

Artificial Intelligence-Based Condition Monitoring and Predictive Maintenance of Medium Voltage Cables: An Integrated System Development Approach

Vertaisarvioitu
Avoin saatavuus
DOI
10.23919/cmd62064.2024.10766104
2024

Wireless communication methods in condition monitoring

Vertaisarvioitu
2003

Integration of natural language in intelligent condition monitoring

Vertaisarvioitu
DOI
10.1784/cm.2019.223
2019

Condition monitoring of rotating machinery: How do we detect wear?

2005

Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring

Vertaisarvioitu
DOI
10.1007/978-981-99-1988-8_7
2023

Unified signal and data analysis for integration of condition monitoring and intelligent control

Vertaisarvioitu
2022

Agent and Web Technologies in Condition Monitoring and Maintenance

Vertaisarvioitu
2007

Tribology as basis for machinery condition diagnostics and prognostics: (Keynote paper)

Vertaisarvioitu
2006

Intelligent fault diagnosis for on-line condition monitoring in smart distribution networks

Vertaisarvioitu
DOI
10.1109/CMD.2012.6416309
2012