Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal functioning states are related to specific patterns that can be extracted from vibration signals. Extensively studied issues concern the different methodologies used for carrying out main phases (signal measurements, pre-processing and processing, feature selection, fault diagnosis) of a malfunction automatic ...

gears are one of the most critical components in power transmission system of an automobile and also many rotating machinery. many studies have been conducted on optimum gear design. the main objective is to design different aluminium metal matrix composite spur gears before and after optimization. aluminium metal matrix material composites are preferred mostly due to their low density. also th...

Abstract — This paper proposed a sequential diagnosis method using fuzzy neural network called “partially-linearized neural network (PNN)”, by which the fault types of rotating machinery can be precisely and effectively distinguished at an early stage on the basis of the possibilities of symptom parameters. The non-dimensional symptom parameters (NPS) in time domain are defined for reflecting t...

The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. On the other hand, any fault in bearing can lead to losses on the level of production and equipments as well as creation an unsafe working environment for human. For these reasons, Condition monitoring and fault diagnosis of these bearings has ...