The diagnosis and prognosis of misaligned rotor systems have gained importance in recent
times. Misalignment has become one of the main reasons for system vibration, which …

This work presents a multi-fault classification system using artificial neural network (ANN) to
distinguish between different faults in rotating machines automatically. Rotation frequency …

In condition monitoring, accurate fault identification is an essential task for designing a
proper maintenance strategy. Misalignment is one of the main faults in rotary machinery …

This paper presents mechanical fault detection in squirrel cage induction motors (SCIMs) by
means of two recent techniques. More precisely, we have analyzed the rolling element …

This paper presents a thorough literature review on the fault mechanism and diagnostic
techniques for a range extender hybrid electric vehicle, which is one of the most feasible …

Misalignment is one of the most commonly observed faults in marine diesel engines. Current
misalignment detection methods commonly use vibration spectrum analysis, which cannot …

This paper presents the mechanical fault detection in squirrel cage induction motors
(SCIMs). Rotor eccentricity is a common fault in SCIMs. In addition, rolling element bearing …

Predictive diagnosis of motor defects can reduce repair and downtime costs of electrical
equipment. This paper presents the results of a research on the effectiveness of the defect …

The misalignment fault is commonly caused by incorrect shaft positions between motor and
load in electrical machines. It affects the mechanical symmetry of machine and thus causes …

This paper investigates the condition monitoring field of the rotating electrical machines.
Several types of rotating electrical machinery that is present in the industry such as …