[HTML][HTML] Key management issue in SCADA networks: A review

A Rezai, P Keshavarzi, Z Moravej - Engineering science and technology, an …, 2017 - Elsevier
Abstract Supervisory Control And Data Acquisition (SCADA) networks have a vital role in
Critical Infrastructures (CIs) such as public transports, power generation systems, gas, water …

[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 …

[HTML][HTML] A p− V diagram based fault identification for compressor valve by means of linear discrimination analysis

X Li, P Ren, Z Zhang, X Jia, X Peng - Machines, 2022 - mdpi.com
The pressure-volume diagram (p− V diagram) is an established method for analyzing the
thermodynamic process in the cylinder of a reciprocating compressor as well as the fault of …

Failure analysis and improvement measures for crankshaft connecting rod of refrigerator compressor

D Wang, J Sun, Q He, J Si, T Shi, F Li, J Yang… - Engineering Failure …, 2022 - Elsevier
With the improvement of family life quality and the implementation of energy-saving green
household appliances, the volume of refrigerator increases rapidly and the energy efficiency …

Fault Detection of Reciprocating Compressor Valve Based on One‐Dimensional Convolutional Neural Network

F Guo, Y Zhang, Y Wang, P Wang… - Mathematical …, 2020 - Wiley Online Library
Reciprocating compressors are important equipment in oil and gas industries which closely
relate with the healthy development of the enterprise. It is essential to detect the valve fault …

Analysis of the thermodynamic characteristics of a hyper-compressor through numerical simulation and experimental investigation

L Yang, X Jia, X Peng - Applied Sciences, 2023 - mdpi.com
Hyper-compressors play an important role in polymer production. However, due to the
extremely high pressure and complex geometries, it is difficult to monitor and calculate the …

Object-based thermal image segmentation for fault diagnosis of reciprocating compressors

R Deng, Y Lin, W Tang, F Gu, A Ball - Sensors, 2020 - mdpi.com
As an essential mechanical device in many industrial applications, reciprocating
compressors have a high demand for operating efficiency and availability. Because the …

A new method for nondestructive fault diagnosis of reciprocating compressor by means of strain-based p–V diagram

X Li, X Peng, Z Zhang, X Jia, Z Wang - Mechanical Systems and Signal …, 2019 - Elsevier
As an established method to analyse the thermodynamic process inside a cylinder, the
pressure–volume (p–V) diagram can identify typical faults within industrial reciprocating …

A study on factors affecting the wear of steel track undercarriage

FA Rich, AM Shahhosseini, MA Badar… - Journal of Quality in …, 2023 - emerald.com
Purpose Reducing wear of undercarriage track propulsion systems used in heavy
construction equipment decreases the maintenance costs and increases the equipment's …

Air leaks fault detection in maintenance using machine learning

N Barakat, L Hajeir, S Alattal, Z Hussein… - Journal of Quality in …, 2024 - emerald.com
Purpose The objective of this paper is to develop a condition-based maintenance (CBM)
scheme for pneumatic cylinders. The CBM scheme will detect two common types of air …