The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …

Rotating machines have been widely used in industrial engineering. The fault diagnosis of
rotating machines plays a vital important role to reduce the catastrophic failures and heavy …

Timely and accurate bearing fault detection and diagnosis is important for reliable and safe
operation of industrial systems. In this study, performance of a generic real-time induction …

This paper presents a novel hybrid model for fault detection and classification of motor
bearing. In the proposed model, permutation entropy (PE) of the vibration signal is …

The bearings have been exposed to a noisy environment for an extended period, making it
challenging to identify fault characteristics accurately and resulting in low accuracy. In this …

Condition-based maintenance, which includes both diagnosis and prognosis of faults, is a
topic of growing interest for improving the reliability of electrical drives. Bearings constitute a …

During milling operations, wear of cutting tool is inevitable; therefore, tool condition
monitoring is essential. One of the difficulties in detecting the state of milling tools is that they …

A new bearing vibration feature extraction method based on multiscale permutation entropy
(MPE) and improved support vector machine based binary tree (ISVM-BT) is put forward in …

Intelligent fault diagnosis gives timely information about the condition of mechanical
components. Since rolling element bearings are often used as rotating equipment parts, it is …

Fault diagnosis of bearings using classification techniques plays an important role in
industrial applications, and, hence, has received increasing attention. Recently, significant …