Artificial intelligence for fault diagnosis of rotating machinery: A review

R Liu, B Yang, E Zio, X Chen - Mechanical Systems and Signal Processing, 2018 - Elsevier
Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of
modern industrial systems. As an emerging field in industrial applications and an effective …

An overview of various faults detection methods in synchronous generators

M Mostafaei, J Faiz - IET electric power applications, 2021 - Wiley Online Library
Synchronous generator (SG) plays a vital and critical role in the power system by supplying
electric power to consumers. Various faults in SGs can cause some catastrophic events such …

Probabilistic physics-guided machine learning for fatigue data analysis

J Chen, Y Liu - Expert Systems with Applications, 2021 - Elsevier
Abstract A Probabilistic Physics-guided Neural Network (PPgNN) is proposed in this paper
for probabilistic fatigue SN curve estimation. The proposed model overcomes the limitations …

Corporate reputation and market value: Evidence with generalized regression neural networks

MA Fernández-Gámez, AM Gil-Corral… - Expert Systems with …, 2016 - Elsevier
Corporate Reputation (CR) is a critical intangible asset for a firm. As a representation of its
past actions and results, CR encompasses a number of features which conform the status of …

Data‐driven fault diagnosis approaches for industrial equipment: A review

AR Sahu, SK Palei, A Mishra - Expert Systems, 2024 - Wiley Online Library
Undetected and unpredicted faults in heavy industrial machines/equipment can lead to
unwanted failures. Therefore, prediction of faults puts paramount importance on maintaining …

Global geometric similarity scheme for feature selection in fault diagnosis

C Liu, D Jiang, W Yang - Expert Systems with Applications, 2014 - Elsevier
This work presents a global geometric similarity scheme (GGSS) for feature selection in fault
diagnosis, which is composed of global geometric model and similarity metric. The global …

Fault prediction of drag system using artificial neural network for prevention of dragline failure

AR Sahu, SK Palei - Engineering Failure Analysis, 2020 - Elsevier
Undetected faults in heavy earth moving machineries (HEMMs) are linked with high
maintenance cost and downtime losses. Draglines are capital intensive HEMMs used in …

Out-of-step protection of generator using analysis of angular velocity and acceleration data measured from magnetic flux

H Yaghobi - Electric Power Systems Research, 2016 - Elsevier
This paper presents a new flux-based method for out-of-step protection of synchronous
generator. The available measured angular velocity and acceleration data from magnetic …

Fast predictive technique for reverse power detection in synchronous generator

H Yaghobi - IET Electric Power Applications, 2018 - Wiley Online Library
Reverse power relays are utilised to trip turbine generators to avoid prime mover damage
and directional relay is most widely used as the main protection for these conditions. An …

A novel algorithm for damage recognition on pest-infested oilseed rape leaves

Y Zhao, Y He, X Xu - Computers and electronics in agriculture, 2012 - Elsevier
Cabbage caterpillar infestation of oilseed rape will leave wormholes on leaves. The
percentage of wormholes' area on leaf is an effective index to evaluate infestation …