scholarly journals Structural condition monitoring system of steam/water piping in thermal power plant and its application

2020 ◽  
Vol 1633 ◽  
pp. 012066
Author(s):  
Yu Wan ◽  
Jiyang Yin ◽  
Chuanling Jin ◽  
Shitao Liu
Author(s):  
Joshuva Arockia Dhanraj ◽  
Kuppan Chetty Ramanathan ◽  
S Priyadharsini ◽  
P Jayaraman ◽  
M Jothi Sankar

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3800
Author(s):  
Boris Glavan ◽  
Zlatko Hanić ◽  
Marinko Kovačić ◽  
Mario Vražić

This paper presents an experience in the design and implementation of the condition-monitoring system for the synchronous generators whose primary purpose is to record data for the identification of the capability limits of the P–Q diagram of three generators in hydro power-plant. Paper presents details about the monitoring system, the underlying theory of the identification of the synchronous generator model with a focus on the calculation of the capability limits in the P–Q diagram. Furthermore, a computationally efficient method for the representation of capability limits suitable for the implementation within the industrial automation and control system of the power-plant is described in detail. Finally, the capability diagrams for three generators were implemented in the power-plant supervisory control and data acquisition system (SCADA) system.


2011 ◽  
Vol 130-134 ◽  
pp. 2499-2503 ◽  
Author(s):  
Ya Jin Liu ◽  
Jiang Guo ◽  
Kai Kai Gu

Aiming at the existing problems of the monitoring systems of most of the thermal power plants in China, an intelligent information flow based real-time monitoring system of thermal power plant (RT-MSTPP) is proposed. RT-MSTPP is based on the role-based access control (RBAC) model to control different users of business model and the data access, and then realizes the intelligent controlling of the information flow. By using RT-MSTPP, the real-time data of the central equipment in the plant is acquired, their operating state is evaluated and the inchoate fault is predicted. The operating results show that the management of the plant has been improved and the inchoate fault of key equipment can be detected and preliminarily diagnosed.


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