Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …
optimized operations, and proper maintenance in order to keep the system in an optimal …
Technology development and commercial applications of industrial fault diagnosis system: a review
Machinery will fail due to complex and tough working conditions. It is necessary to apply
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …
Rolling bearing fault detection using continuous deep belief network with locally linear embedding
Rolling bearing fault detection is of crucial significance to enhance the availability, the
reliability and the security of rotating machinery. In this paper, a novel method called …
reliability and the security of rotating machinery. In this paper, a novel method called …
Digital twin approach for on-load tap changers using data-driven dynamic model updating and optimization-based operating condition estimation
On-load tap changers (OLTCs), which are found in power transformers, are mechanically
operating components. The vibration signal of an OLTC can provide effective observed data …
operating components. The vibration signal of an OLTC can provide effective observed data …
Vibro-acoustic methods in the condition assessment of power transformers: A survey
It has been over two decades since the publication of pioneer works about the power
transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there …
transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there …
A vibration measurement system for health monitoring of power transformers
K Hong, H Huang, Y Fu, J Zhou - Measurement, 2016 - Elsevier
Health and usage monitoring (HUM) systems are critical for power transformers, and should
provide accurate diagnostic information without delay. Diagnostic methodologies are the …
provide accurate diagnostic information without delay. Diagnostic methodologies are the …
Intelligent fault diagnosis of high-voltage circuit breakers using triangular global alignment kernel extreme learning machine
L Chen, S Wan - ISA transactions, 2021 - Elsevier
In recent years, vibration-based intelligent fault diagnosis of high-voltage circuit breakers
(HVCBs) exhibits excellent performance. It requires a reliable machine learning method to …
(HVCBs) exhibits excellent performance. It requires a reliable machine learning method to …
Mechanical fault diagnosis of high voltage circuit breakers with unknown fault type using hybrid classifier based on LMD and time segmentation energy entropy
In order to improve the identification accuracy of the high voltage circuit breakers'(HVCBs)
mechanical fault types without training samples, a novel mechanical fault diagnosis method …
mechanical fault types without training samples, a novel mechanical fault diagnosis method …
Intelligent fault diagnosis of HVCB with feature space optimization-based random forest
Mechanical faults of high-voltage circuit breakers (HVCBs) always happen over long-term
operation, so extracting the fault features and identifying the fault type have become a key …
operation, so extracting the fault features and identifying the fault type have become a key …
A systematic review for switchgear asset management in power grids: condition monitoring, health assessment, and maintenance strategy
Asset management process and techniques can improve the cost-efficiency, balance the
cost and risk, and prolong the service life of the aging switchgears in power grids, which …
cost and risk, and prolong the service life of the aging switchgears in power grids, which …