International Journal of Production Research · 1995 · 15 citations · 4 references
ComputingComputer ScienceIndustrial EngineeringArtificial IntelligenceHydraulicsMachine LearningDiagnosisDiagnosticsFault DetectionFault DiagnosisHydraulic MachineryNeural NetworksFault ClassificationMachine Fault DiagnosisMachine Learning For Fault DetectionMachine Learning-based Fault DiagnosisNeural Network DiagnosticsNeural Network ModelingNeural Network-based Diagnosis
The paper describes the utilization of neural networks for fault diagnosis of hydraulic forging presses which may have an impact on the effective utilization of the over 2000 presses in use in China. The technical descriptions of the presses and the 47 major possible faults are presented. For diagnosing these faults the neural network with 30 000 iteration training was utilized and it provided a 99% accuracy in identifying causes of the failures of hydraulic forging presses.
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Incipient fault diagnosis of chemical processes via artificial neural networks
Kajiro Watanabe, I. Matsuura, Masahiro Abe et al. · AIChE Journal · 1989 · 296 citations