Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

This paper presents a new approach to intelligent fault diagnosis based on statistics
analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference …

Nowadays, manufacturing companies are making great efforts to implement an effective
machinery maintenance program, which provides incipient fault detection. The machine …

Induction motors are critical components for most industries. Induction motor failures may
yield an unexpected interruption at the industry plant. Several conventional vibration and …

This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference
system (ANFIS) in combination with decision trees. Classification and regression tree …

Due to their efficiency and control capabilities, induction motors fed with inverters have
become prevalent in various industrial applications. However, ensuring the reliable …

We present an algorithm for the online detection of rotor bar breakage in induction motors
through the use of wavelet packet decomposition (WPD) and neural networks. The system …

This paper presents a review of the application of neuro-fuzzy systems (NFS) in business on
the basis of the research articles issued in various reputed international journals and …

Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …