Abstract
The subject of the research is thermal station power equipment, in particular steam turbines and steam turbine plant support equipment. In the modern context, when working lifespan of the power equipment outreached the limit, thus the goal is to assure it performance and availability for producing enough energy and heat. To reach the goal it’s necessary to design and implement the probabilistic models and techniques for power equipment reliability under present day conditions. The probabilistic second derivative output parameters change model of power equipment is first developed by the authors and is the scientific novelty of the research. In the paper the assumptions and suppostitions on which the model is based are described. The practical implication of the model consists of capability of rational maintenance and repair operation term estimation of thermal power plant steam turbines. The model is based on the mathematical statistics methods, probability theory and matrix calculus. The probabilistic model allows forecasting the output characteristics change in time and control actions explicitly. The example of output characteristics change for long term utilization is given. During the research the statistical power equipment elements failure and error material has been acquired and presented in relative failure and error share diagram. The internal and external technical and operational factors influencing the failure statistics are determined. For quantitive reliability estimation of power equipment the set of primary indices, influencing turbine performance and reliability, is presented.
Highlights
In the modern context, when working lifespan of the power equipment outreached the limit, the goal is to assure it performance and availability for producing enough energy and heat
In order to control output characteristics explicitly the probabilistic model based on the following assumptions is suggested [5]: (1) turbine is operated complexly considering different load, temperature and vibration and etc. conditions; (2) in case of failure and its cause detection the equipment should be maintained; (3) the damage control should be complex, i:. it should concern the damaged component, but others, which are functionally related to the power and heat generation schedule
The analysis of the thermal power plant turbine failures shows that different turbine component failure causes give mixed response to turbine output characteristics, such as unplanned repair time, repair personnel, repair cost, power and heat output, power and heat sale incomes etc. [9]
Summary
In the modern context, when working lifespan of the power equipment outreached the limit, the goal is to assure it performance and availability for producing enough energy and heat. To increase the power equipment lifetime the tasks [3] of data obtain and long term steam turbine reliability statistical information processing is set. Statistical data analysis should reveal the reasons of component, details and mechanisms failures, which affect equipment reliability directly. It should concern the damaged component, but others, which are functionally related to the power and heat generation schedule It should be mentioned, that the component technological or operational parameter variation are correlation dependent on failed component and have a direct impact on the component output characteristics indirect impact on the turbine one. The analysis of the thermal power plant turbine failures shows that different turbine component failure causes give mixed response to turbine output characteristics, such as unplanned repair time, repair personnel, repair cost, power and heat output, power and heat sale incomes etc.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
