Results 111 to 120 of about 866,432 (203)

Reducing label dependence in vibration-based drill-bit condition monitoring with masked feature pretraining. [PDF]

Sci Rep
Chandan MN, Badadhe A, Kebede AW, Majumder H.   +3 more
europepmc   +1 more source

The Use of Advanced Soft Computing for Machinery Condition Monitoring

The demand for cost effective, reliable and safe machinery operation requires accurate fault detection and classification. These issues are of paramount importance as potential failures of rotating and reciprocating machinery can be managed properly and ...
Ahmed, Mahmud
core  

Convolutional autoencoder based condition monitoring system for unique complex technical systems. [PDF]

Sci Rep
Tahtali E, Adamscheck M, Overmeyer L, Wurz MC, Lotz C, Klaas D.   +5 more
europepmc   +1 more source

Advancing sustainable thermal power plants: A thermodynamic-based condition monitoring model for control valves in gas turbines under thermal fluctuations. [PDF]

Sci Rep
Hossein MA, Yunusa-Kaltungo A, Mostafa NA.   +2 more
europepmc   +1 more source

A condition monitoring dataset based on electrical signals for a squirrel cage induction generator. [PDF]

Data Brief
Tominaga RN, Barbosa SS, Sousa LA, Lunardi ADS, Rocha RV, Ávila SL, Carmo BS, Monaro RM, Salles MBC.   +8 more
europepmc   +1 more source

Self-Powered Sensing System for Electric Vehicle Drive Condition Monitoring and Driving Condition Identification in Intelligent Electric Vehicles. [PDF]

Research (Wash D C)
Tang J, Li H, Hu Y, Shang Y, Li H, Tian H, Liu P, Zhou L, Zhang J, Zhao H.   +9 more
europepmc   +1 more source

Practical Test-Time Domain Adaptation for Industrial Condition Monitoring by Leveraging Normal-Class Data. [PDF]

Sensors (Basel)
Goodarzi P, Schütze A.
europepmc   +1 more source

Biomimicry as a decision-making methodology in condition monitoring. [PDF]

Front Artif Intell
Dhungana H.
europepmc   +1 more source

Advancements in Induction Motor Fault Diagnosis and Condition Monitoring: A Comprehensive Review. [PDF]

Sensors (Basel)
Hamani K, Kuchar M, Kubatko M, Kirschner S.   +3 more
europepmc   +1 more source

Hi-MDTCN: Hierarchical Multi-Scale Dilated Temporal Convolutional Network for Tool Condition Monitoring. [PDF]

Sensors (Basel)
Chai A, Fang Z, Lian M, Huang P, Guo C, Yin W, Wang L, He E, Li S.   +8 more
europepmc   +1 more source