[PDF][PDF] Gear fault detection using machine learning techniques-a simulation-driven approach
VC Handikherkar, VM Phalle - International Journal of Engineering, 2021 - ije.ir
Machine Learning (ML) based condition monitoring and fault detection of industrial
equipment is the current scenario for maintenance in the era of Industry-4.0. The application …
equipment is the current scenario for maintenance in the era of Industry-4.0. The application …
A proposed approach for separation between short circuit fault, magnetic saturation phenomenon and supply unbalance in permanent magnet synchronous motor
Z Gherabi, D Toumi, N Benouzza… - International Journal of …, 2020 - ije.ir
This paper proposes a new approach for discrimination between short circuit fault, magnetic
saturation phenomenon and supply voltage unbalance in permanent magnet synchronous …
saturation phenomenon and supply voltage unbalance in permanent magnet synchronous …
[PDF][PDF] A Novel Intelligent Fault Diagnosis Approach for Critical Rotating Machinery in the Time-frequency Domain
The rotating machinery is a common class of machinery in the industry. The root cause of
faults in the rotating machinery is often faulty rolling element bearings. This paper presents a …
faults in the rotating machinery is often faulty rolling element bearings. This paper presents a …
A new technique for bearing fault detection in the time-frequency domain
This paper presents a new Fast Kurtogram Method in the time-frequency domain using
novel types of statistical features instead of the kurtosis. For this study, the problem of four …
novel types of statistical features instead of the kurtosis. For this study, the problem of four …