Engine Misfire Fault Detection Based on the Channel Attention Convolutional Model
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Abstract
To accurately diagnose misfire faults in automotive engines, we propose a Channel Attention Convolutional Model, specifically the Squeeze-and-Excitation Networks (SENET), for classifying engine vibration signals and precisely... | Find, read and cite all the research you need on Tech Science Press
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Research context
OpenAlex topics: Advanced Decision-Making Techniques · Advanced Sensor and Control Systems · Fire Detection and Safety Systems
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References (34)
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