Fault Detection in Coal Mills Used in Power Plants
نویسندگان
چکیده
In order to achieve high performance and efficiency of coal-fired power plants, it is highly important to control the coal flow into the boiler in the power plant. This means suppression of disturbances and force the coal mill to deliver the required coal flow, as well as monitor the coal mill in order to detect faults in the coal mill when they emerge. This paper deals with the second objective. Based on a simple dynamic model of the energy balance a residual is formed for the coal mill. An optimal unknown input observer is designed to estimate this residual. The estimated residual is following tested by measured data of a fault in a coal mill, it can hereby be concluded that this residual is very useful for detecting faults in the coal mill.
منابع مشابه
Observer-based and Regression Model-based Detection of Emerging Faults in Coal Mills
In this paper three different approaches for fault detections are compared on example with coal mill used at a power plant. The compared methods are based on: an optimal unknown input observer, static and dynamic regression model-based detections. These approaches are compared on data from a coal mill, where a fault emerges during the test set. The conclusion on the comparison is that observerb...
متن کاملAltbach/Deizisau CHP plant: Integrating early fault detection minimizes consequential damages
The Plant The Altbach/Deizisau CHP plant ensures reliable, economical and environmentally-friendly power supply. EnBW operates several plants at the site with a total output of around 1,200 MW, including the 476 MW coal-fired block HKW 1. The district heating generated supplies a considerable proportion of the industrial enterprises in Esslingen and Stuttgart, as well as private households in t...
متن کاملTHE UNIVERSITY of BIRMINGHAM On-line Condition and Safety Monitoring of Pulverised Coal Mills Using a Model Based Pattern Recognition Technique
Around 40% of electricity in the UK is currently generated by coal-fired power stations. Coal-fired power stations nowadays are required to operate more flexibly with more varied coal specifications and regularly use coal with higher volatile contents and biomass materials; this can increase the risks of pressurisation or fires in milling plants. The power stations are also obliged to vary thei...
متن کاملEstimation of Moisture Content in Coal in Coal Mills
For coal-fired power plants information of the moisture content in the coal is important to determine and control the dynamical behavior of the power plants. E.g. a high moisture content in the coal can result in a decreased maximum load gradient of the plant. In this paper a method for estimating the moisture content of the coal is proposed based on a simple dynamic energy model of a coal mill...
متن کاملDesign of an Adaptive Constrained Based Neuro-fuzzy Controller for Fault Detection of a Power Plant System
This paper proposes an adaptive constraint based framework for fault detection of a complex thermal power plant system. In many complex systems, representation of precise and crisp constraints uses formal specification languages such as Object Constraint Language (OCL). Here, a constraint based neuro-fuzzy controller to tackle imprecise constrained objects is proposed. The proposed inference sy...
متن کامل