EEMD assisted supervised learning for the fault diagnosis of BLDC motor using vibration signal
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-020-2208-7
Abstract: Predictive maintenance (PdM) has become a major issue in system health monitoring, as machines are operating under more complex and diverse conditions nowadays. Besides minimizing the risk of a catastrophic failure, a proper maintenance scheme… read more here.
Keywords: fault; bldc motor; motor; fault diagnosis ... See more keywords
Damage detection in steel-concrete composite bridge using vibration characteristics and artificial neural network
Sign Up to like & getrecommendations! Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2019.1696378
Abstract: Abstract This paper develops and applies a procedure for detecting damage in a composite slab-on-girder bridge structure comprising of a reinforced concrete slab and three steel I beams, using vibration characteristics and Artificial Neural Network… read more here.
Keywords: vibration characteristics; bridge; damage; using vibration ... See more keywords
Damage Identification of Unreinforced Masonry Panels Using Vibration-Based Techniques
Sign Up to like & getrecommendations! Published in 2017 at "Shock and Vibration"
DOI: 10.1155/2017/9161025
Abstract: Several damage indicators based on changes in modal properties validated for homogeneous materials were applied to detect damage in an unreinforced masonry cantilever panel. Damage was created by a “clean diagonal cut” at the center… read more here.
Keywords: vibration based; using vibration; unreinforced masonry; damage ... See more keywords