Failure analysis of induced draft fan used in a thermal power plant using coordinated condition monitoring approach: A case study

2020 ◽  
Vol 111 ◽  
pp. 104442 ◽  
Author(s):  
Hanumant P. Jagtap ◽  
Anand K. Bewoor ◽  
Ravinder Kumar
2015 ◽  
Vol 27 (3) ◽  
pp. 353-360 ◽  
Author(s):  
Debasis Das Adhikary ◽  
Goutam Kumar Bose ◽  
Dipankar Bose ◽  
Souren Mitra

Author(s):  
Di Hu ◽  
Sheng Guo ◽  
Gang Chen ◽  
Cheng Zhang ◽  
Dongzhen Lv ◽  
...  

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.


2019 ◽  
Vol 23 (1) ◽  
pp. 70-75 ◽  
Author(s):  
Caneon Kurien ◽  
Ajay Kumar Srivastava

Abstract A case study was carried out to investigate the effectiveness of condition monitoring techniques in the early failure detection of pumps in a thermal power plant. Various condition monitoring techniques used in this case study involved vibration analysis, motor current signature analysis, noise monitoring and wear debris analysis. These techniques were applied on the three pumps, namely boiler feed water pump, auxiliary cooling water pump and condensate extraction pump, which have to work continuously for the operation of the thermal power plant. Vibration analysis of the auxiliary cooling water pump showed that there is a rising trend in the acceleration values at its driving and non-driving end indicating the deterioration of bearings. Motor current index range of all the pumps was found to be within acceptable limits. Wear debris analysis of lubricant in the hydraulic coupling of boiler feed water pump indicated the presence of sand, dirt and low alloy steel sliding wear particles in it. Condition monitoring techniques have been proved to be an effective technique in early failure detection of pumps.


2016 ◽  
Vol 99 (2) ◽  
pp. 233-238 ◽  
Author(s):  
Debashis Ghosh ◽  
Subrata Ray ◽  
Jiten Mandal ◽  
Nilrudra Mandal ◽  
Awdhesh Kumar Shukla

2012 ◽  
Vol 232 ◽  
pp. 609-613
Author(s):  
Ali Baghernejad ◽  
Mahmood Yaghoubi

In the present study, a specific and simple second law based exergoeconomic model with instant access to the production costs is introduced. The model is generalized for a case study of Shiraz solar thermal power plant with parabolic collectors for nominal power supply of 500 kW. Its applications include the evaluation of utility costs such as products or supplies of production plant, the energy costs between process operations of an energy converter such as production of an industry. Also attempt is made to minimize objective function including investment cost of the equipments and cost of exergy destruction for finding optimum operating condition for such plant.


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