A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor

O AlShorman, M Irfan, N Saad, D Zhen… - Shock and …, 2020 - Wiley Online Library
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 …

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

Framework for role-based delegation models

E Barka, R Sandhu - proceedings 16th annual computer …, 2000 - ieeexplore.ieee.org
The basic idea behind delegation is that some active entity in a system delegates authority
to another active entity to carry out some functions on behalf of the former. Delegation in …

Fault diagnosis of reciprocating compressor valve with the method integrating acoustic emission signal and simulated valve motion

Y Wang, C Xue, X Jia, X Peng - Mechanical systems and signal Processing, 2015 - Elsevier
This paper proposes a method of diagnosing faults in reciprocating compressor valves using
the acoustic emission signal coupled with the simulated valve motion. The actual working …

Fault detection in reciprocating compressor valves under varying load conditions

K Pichler, E Lughofer, M Pichler, T Buchegger… - … Systems and Signal …, 2016 - Elsevier
This paper presents a novel approach for detecting cracked or broken reciprocating
compressor valves under varying load conditions. The main idea is that the time frequency …

Detection and estimation of valve leakage losses in reciprocating compressor using acoustic emission technique

HY Sim, R Ramli, A Saifizul, MF Soong - Measurement, 2020 - Elsevier
Valve problems in reciprocating compressor are often resolved through parameter analysis
of acoustic emission (AE) signals or intelligent system without examining the nature of …

[HTML][HTML] Automated valve fault detection based on acoustic emission parameters and support vector machine

SM Ali, KH Hui, LM Hee, MS Leong - Alexandria engineering journal, 2018 - Elsevier
Reciprocating compressors are one of the most used types of compressors with wide
applications in industry. The most common failure in reciprocating compressors is always …

A non-destructive fault diagnosis method for a diaphragm compressor in the hydrogen refueling station

X Li, J Chen, Z Wang, X Jia, X Peng - international journal of hydrogen …, 2019 - Elsevier
Costly and time-consuming maintenance of the hydrogen compressors due to their frequent
breakdown severely hinders the deployment and promotion of hydrogen refueling station …

[HTML][HTML] Investigation on recognition method of acoustic emission signal of the compressor valve based on the deep learning method

Y Zhang, G Yang, D Zhang, T Wang - Energy Reports, 2021 - Elsevier
The valve affects the reliability and efficiency of the reciprocating compressor. The Acoustic
Emission (AE) technology is applied to nondestructive measurement of compressor valve …

Valve fault detection for single-stage reciprocating compressors

M Farzaneh-Gord, H Khoshnazar - Journal of Natural Gas Science and …, 2016 - Elsevier
In the present study, a zero-dimensional numerical method is developed based upon the
crank angle to investigate reciprocating natural gas compressor with valve faults. This model …