scholarly journals Condition Monitoring of Industrial Equipment Based on Multi-Variables State Estimate Technique

2020 ◽  
Vol 10 (16) ◽  
pp. 5637
Author(s):  
Dongteng Long ◽  
Heng Zheng ◽  
Feng Hong
Keyword(s):  
Power Plant ◽  
Condition Monitoring ◽  
Thermal Power ◽  
Similarity Index ◽  
Industrial Equipment ◽  
Monitoring Method ◽  
State Estimate ◽  
Comparison Results ◽  
Matrix Construction ◽  
Failure Monitoring

Unexpected failures commonly occur in industrial equipment, and condition monitoring could significantly improve the efficiency of maintenance and failure of early alarm. A condition monitoring method using multi-variables state estimate technique (MSET) is proposed, and an improved multi-variables memory matrix construction method is employed, furthermore, an analysis of comprehensive similarity index that considering variable weights is accomplished, and incipient failure alarm thresholds are determined, which lead to effective early detection of failure. The method proposed in this paper is validated using actual data for blower fan in a thermal power plant, and the simulation and comparison results are discussed. The verification results reveal that the proposed method is effective for failure monitoring modeling and achieve a superior accuracy, and incipient failure could be accurately detected.

A mixed intelligent condition monitoring method for nuclear power plant

2020 ◽  
Vol 140 ◽  
pp. 107307 ◽  
Author(s):  
Binsen Peng ◽  
Hong Xia ◽  
Xintong Ma ◽  
Shaomin Zhu ◽  
Zhichao Wang ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Condition Monitoring ◽  
Nuclear Power ◽  
Monitoring Method

scholarly journals Performance Comparison of Different Models of Direct Steam Solar Plants Based on Parabolic Trough Technology by Simulink MATLAB

2018 ◽  
Vol 225 ◽  
pp. 02007
Author(s):  
Sanan T. Mohammad ◽  
Hussain H. Al-Kayiem ◽  
Syed I.U. Gilani ◽  
Ayad K. Khlief
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Solar Thermal ◽  
Electricity Production ◽  
Maximum Temperature ◽  
Steam Generation ◽  
Steam Quality ◽  
Comparison Results ◽  
Direct Steam

Solar thermal plants are among the most promising technologies to replace fossil fuel standing applications. Among solar thermal technologies, parabolic troughs are considered as the most mature application in the market. The objective of this paper is to elaborate on comparison results of three different topologies of solar parabolic troughs field, in terms of performances and energy production. Thermolib software was used to perform the proposed power plants simulation with direct steam generation. Applying the proposed models. These models simulate the behaviour of both the solar field and the power block of a 1.2 kW solar thermal power plant. The results of this analysis demonstrating that the use of steam separator and superheater in a stand-alone solar power plant model is more advantageous in terms of steam temperature, steam quality and net electricity production in comparison to other models. The optimum topology showed that the maximum temperature of steam outlet reach 221°C, steam quality reach 1 and efficiency of power plant around 19.6% for model 3.

Induced Draft Fan Early Anomaly Identification Based on SIS Data Using Normal Behavior Model in Thermal Power Plant

2019 ◽  
Author(s):  
Di Hu ◽  
Sheng Guo ◽  
Gang Chen ◽  
Cheng Zhang ◽  
Dongzhen Lv ◽  
...  
Keyword(s):  
Power Plant ◽  
Condition Monitoring ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Operating Parameters ◽  
Mechanical Equipment ◽  
Behavior Model ◽  
Principle Components Analysis ◽  
Normal Behavior ◽  
Induced Draft Fan

Abstract In this work, a new idea was proposed that establishes normal behavior model (NBM) with multiple inputs and multiple outputs for each specific equipment based on Principle components analysis — Nonlinear autoregressive exogenous model (PCA-NARX) a kind of ANN. The operating parameters interested in condition monitoring are selected from SIS as an aggregation for a certain equipment, and the corresponding NBM is constructed based on the co-relation among parameters and the autocorrelation in each parameter. Each operating parameter can determine a reasonable range in real time by NBM, so it can detect abnormal operation parameters more quickly than the traditional fixed threshold method. Combining the historical operational data of the No. 1 induced draft fan of No. 3 generating unit in Shajiao C Power Plant in China, and the aggregation for induced draft fan covers 12 operating parameters interested in condition monitoring. This work used MATLAB to verify and analyze the proposed method. It is found that the NBM for induced draft fan early anomaly identification established in this work can achieve rapid response to the fault and give an alarm in the early stage of the fault. Moreover, the method can be easily applied to other mechanical equipment in thermal power plant and has good engineering application value.

scholarly journals Thermal Power Plant Condenser Fault Diagnosis Using Coordinated Condition Monitoring Approach

2019 ◽  
Vol 18 (3) ◽  
pp. 223-235 ◽  
Author(s):  
Hanumant Pandurang Jagtap ◽  
Anand Bewoor ◽  
Ravinder Kumar
Keyword(s):  
Fault Diagnosis ◽  
Power Plant ◽  
Condition Monitoring ◽  
Thermal Power Plant ◽  
Thermal Power
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