Litcius/Paper detail

An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies

Yiwei Wang, Jian Zhou, Lianyu Zheng, Christian Gogu

2020Journal of Intelligent Manufacturing35 citationsDOI

Topics & Concepts

Robustness (evolution)Feature extractionComputer scienceConvolutional neural networkClassifier (UML)Artificial intelligencePattern recognition (psychology)Artificial neural networkSignal processingEngineeringControl engineeringComputer hardwareBiochemistryGeneDigital signal processingChemistryMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityGear and Bearing Dynamics Analysis
An end-to-end fault diagnostics method based on convolutional neural network for rotating machinery with multiple case studies | Litcius