Remote diagnosis design for a PLC-based automated system: 2-evaluation of factors affecting remote diagnosis performance

Sekar, R.; Hsieh, Sheng‐Jen; Wu, Zhenhua

doi:10.1007/s00170-012-4242-9

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…For the control level, the industrial personal computer (IPC; IPC-610-L; Advantech Technology Co., Ltd., Suzhou, China) communicates with the programmable logic controller (PLC; CP1H-X40DR-A; Omron Industrial Automation Co., Ltd., Tokyo, Japan) through the RS-232 serial port. 8 The upper computer IPC, which runs the Visual Basic program, communicates with the data acquisition unit and the digital power meter through the TCP/IP Modbus Protocol on a 100-Mbps Ethernet network. 9 The PLC can control the alternating current (AC) contactor and the solenoid valve through its I/O modules.…”

Section: Hardware Subsystemmentioning

confidence: 99%

Automatic testing system to evaluate the energy efficiency of electric storage water heaters

Guo

et al. 2018

Measurement and Control

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Background: The energy efficiency of electric storage water heaters is a concern for enterprises and customers because it is beneficial for energy saving. To decrease the workload of testing personnel and improve the testing efficiency, an automatic testing system for evaluating the energy efficiency performance of electric storage water heaters has been designed. Methods: The complete testing system includes a water supply subsystem, hot water outlet subsystem, hardware subsystem, and software subsystem. An application program was developed using Visual Basic to acquire the sensor data and transmit it in real time to a database server. The energy efficiency evaluating process was controlled by the application software,by combining the data acquisition technology, communication technology, and program logical control technology. Results: The designed system can run automatically and achieve reliable tests, two important parameters including the standing loss per 24 h and the hot water withdrawal rate were obtained. Conclusion: This system can be applied to evaluate the energy efficiency grades of electric storage water heaters.

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Section: Hardware Subsystemmentioning

confidence: 99%

Automatic testing system to evaluate the energy efficiency of electric storage water heaters

Guo

et al. 2018

Measurement and Control

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“…A GA-ANNs combination was developed by Demetgul et al (2011a) generation. An extension of this work (Sekar et al, 2013) was the performance evaluation of remote trouble shooting system based on architectures, faults and skill level of operators. The study showed that there was no significant difference in terms of overall troubleshooting performance between an expert engineer and a novice operator.…”

Section: Related Work In Fault Detection and Classificationmentioning

confidence: 99%

Fault detection and classification in automated assembly machines using machine vision

Chauhan

Surgenor

2016

Int J Adv Manuf Technol

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Automated assembly machines operate continuously to achieve high production rates. Continuous operation increases the potential for faults, with subsequent machine downtime. Early fault detection can reduce the amount of downtime. Traditional fault detection methods check for deviations from fixed threshold limits with multiple mechanical, optical and proximity sensors. The goal of this thesis was to develop and validate a machine vision inspection (MVI) system to detect and classify multiple faults using a single camera as a sensor. An industrial automated O-ring assembly machine that places O-rings on to continuously moving plastic carriers at a rate of over 100 assemblies per minute was modified to serve as the test apparatus. An Firstly, I would like express my sincere gratitude to my supervisor Dr. Brian W. Surgenor for his supervision of this project. He has provided to me an opportunity to learn both technical and professional aspects of engineering. I am very thankful to him for his encouragement, support and constant feedback throughout the course of my studies at Queen's University. He is a great teacher, supervisor and a nice person. Thank you Dr. Surgenor.

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Study of factors impacting remote diagnosis performance on a PLC based automated system

Sekar

Hsieh

2014

Journal of Manufacturing Systems

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Remote diagnosis design for a PLC-based automated system: 2-evaluation of factors affecting remote diagnosis performance

Cited by 3 publications

References 29 publications

Automatic testing system to evaluate the energy efficiency of electric storage water heaters

Automatic testing system to evaluate the energy efficiency of electric storage water heaters

Fault detection and classification in automated assembly machines using machine vision

Study of factors impacting remote diagnosis performance on a PLC based automated system

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