... of research work. The findings indicated that the overall classification accuracy could be improved by 5.1% using asymmetric (20°/30°) gearing. Keywords: Deep Learning, Vibration Signal, Fault Diagnosis, Gear Design, Asymmetric Gear 1. INTRODUCTION Gears have a wide range of applications, including military...

... approach to achieve a more dynamic system that adapts to changing situations independently, which could be the key to developing an adaptive HVAC AFDD system using Artificial Intelligence. AFDD HVAC fault detection fault diagnosis energy efficiency operating costs machine learning artificial...

... of these malfunctions is discussed. AFDD HVAC fault detection fault diagnosis energy efficiency operating costs performance improvement system malfunctions underperformance uncertainty analysis Proceedings of the ASME 2023 International Mechanical Engineering Congress and Exposition IMECE2023 October...

... Abstract This paper presents a dynamic model-based gearbox fault diagnosis using machine learning. A single-stage spur gear using an eight-degrees-of-freedom (DOF) dynamic model is developed and investigated with four gear tooth conditions, i.e., healthy tooth, 20 % tooth crack, 40 % tooth...

... classification accuracy of the bearings faults when compared with other methods. zero resonator frequency filter discrete wavelet packet transform spindle bearing fault detection fault diagnosis Proceedings of the ASME 2021 International Mechanical Engineering Congress and Exposition IMECE2021...

... to be used frequently in fault diagnosis with developing technology. The aim of this study is to determine the gear root crack and its degree with vibration-based diagnostics approach using ML algorithms. To perform early crack detection, the single tooth stiffness and the mesh stiffness calculated via...

.... The experimental results and analysis show that the proposed method can well identify the valve leakage fault, even in the case of weak leakage, and is very effective in quantifying the severity of leakage. reciprocating compressor valve leakage vibration nondestructive testing fault diagnosis...

.... Then this paper proposes a fault diagnosis method based on vibration signals after analyzing the fault mechanism of the port plate frictional pair. And it verifies the diagnosis method through experiment and gives out the analysis result. The result indicates that the vibration signal is sensitive to the port...

... modeling approach is presented. A depth one algorithm for qualitative identification is given and applied to a electro-brake system. Fault isolation quantized systems qualitative models automaton fault diagnosis July 5, 2002 7:29 2002 ASME Internatio O CA tomaton, fault diagnosis. ABSTRACT...

... 13 05 2008 Fault diagnosis least squares estimation multi-station assembly processes system singularity This paper presents a new method of diagnosing variation components of process error sources in a manufacturing system. Quite often in a complex multi-station assembly...

... can be trained to identify more than one fault but these are larger and require more training patterns than networks for single fault diagnosis. This leads to much longer training times and to problems with scaleability. Therefore a modular approach has been developed. Several networks were trained...