Research on diagnosis algorithm of mechanical equipment brake friction fault based on MCNN-SVM
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.110065
Abstract: Abstract Brakes in mechanical equipment are crucial for operational safety, and their effects are directly affected by friction performance. The fault signal induced by friction interface presents the phenomenon of multi-source, and the fault samples… read more here.
Keywords: fault; mechanical equipment; feature; diagnosis ... See more keywords
An adaptive multi-neural network model for named entity recognition of Chinese mechanical equipment corpus
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Engineering Design"
DOI: 10.1080/09544828.2024.2340392
Abstract: Mining entities from open Chinese mechanical equipment texts have become prevailing in the intelligent manufacturing field. However, compared to named entities in other domains, it is very hard to determine entity boundaries in mining Chinese… read more here.
Keywords: mechanical equipment; chinese mechanical; equipment; entity ... See more keywords
Supervised-Learning-Based Intelligent Fault Diagnosis for Mechanical Equipment
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3104189
Abstract: Recently, anomaly detection for improving the productivity of machinery in industrial environments has drawn considerable attention. As large-scale data collection and processing are becoming easier owing to technological developments, data-based deep-learning technology is being developed… read more here.
Keywords: mechanical equipment; model; fault diagnosis; learning based ... See more keywords
Depth Prototype Clustering Method Based on Unsupervised Field Alignment for Bearing Fault Identification of Mechanical Equipment
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3151933
Abstract: In the process of mechanical equipment fault diagnosis, it is difficult to obtain enough labeled samples due to the changeable operating conditions, complex working environment, and the limitation of measuring equipment. Therefore, a prototype clustering… read more here.
Keywords: prototype clustering; equipment; fault; clustering method ... See more keywords
Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis
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DOI: 10.1155/2017/4896056
Abstract: The vibration signal measured from the mechanical equipment is associated with the operation of key structure, such as the rolling bearing and gear. The effective signal processing method for early weak fault has attracted much… read more here.
Keywords: fault; mechanical equipment; diagnosis; enhanced orthogonal ... See more keywords
Multi-Sensor Vibration Signal Based Three-Stage Fault Prediction for Rotating Mechanical Equipment
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24020164
Abstract: In order to reduce maintenance costs and avoid safety accidents, it is of great significance to carry out fault prediction to reasonably arrange maintenance plans for rotating mechanical equipment. At present, the relevant research mainly… read more here.
Keywords: mechanical equipment; fault prediction; fault; rotating mechanical ... See more keywords