Abstract:

The safe and highefficiency operation of the key equipment in simultaneous removal of multipollutant system (SRS) is the guarantee for the whole system.When the equipment is deteriorating, there will be warning signal of onsite equipment state maintenance. This will not only prevent safety accidents, but also save cost in maintenance. A prognostic method for SRS equipment  failure based on multivariate state estimation technique(MSET) and similarity theory is proposed. MSET is used to establish the historical parameter matrix of the equipment in normal state, and the similarity theory is used to perform a nonlinear operation on the correlation coefficients to estimate the value corresponding to the current state. Comparing the deviation between  the two values above, if the deviation is greater than the preset threshold, the system will send out the degradation signal to remind operators and provide basis for equipment state maintenance. Based on the practical application result of a slurry circulating pump in a power plant,the prognostic method for SRS equipment failure based on multivariate state estimation technology and similarity theory is proved to be feasible for slurry circulating pump deterioration monitoring.

Key words: font-family: "Times New Roman",serif, mso-bidi-font-size: 12.0pt, mso-fareast-font-family: 宋体, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA"> circulating pump, multivariate state estimation technology, similarity theory, equipment deterioration prognostic, SRS