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Prediction method of fault degradation state of front pump in power plant based on closed-loop information analysis

An information analysis, pre-pump technology, applied in pump testing, pump control, liquid variable capacity machinery, etc., can solve problems such as indistinguishability, achieve the effect of simple structure, ensure safety and economy

Active Publication Date: 2019-11-22
ZHEJIANG UNIV
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Problems solved by technology

Therefore, under the action of the closed-loop control system, it is impossible to distinguish the time-series correlation of the process variable from the open-loop control system.

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  • Prediction method of fault degradation state of front pump in power plant based on closed-loop information analysis
  • Prediction method of fault degradation state of front pump in power plant based on closed-loop information analysis
  • Prediction method of fault degradation state of front pump in power plant based on closed-loop information analysis

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Embodiment Construction

[0049] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific examples.

[0050] As one of the most important basic industries in the national economy, thermal power generation is an important indicator to measure a country's economic level and comprehensive national strength. There are a large number of closed-loop control systems in large-scale thermal power generating units, and the closed-loop control system of the front pump plays a vital role in the healthy operation of large-scale thermal power generating units. The lateral thrust of the front pump rotor is mainly balanced by the double suction structure of the pump, and the remaining unbalanced force is borne by the bearing at the free end. The cylindrical support bearing at the drive end only bears radial loads and does not bear axial thrust. The tapered roller bearing at the free end bears both the radial force and the axial thrust of the pump. The...

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Abstract

The invention discloses a method for predicting the failure degradation state of a front-mounted pump of a large-sized coal-fired generating unit based on closed loop information analysis. The failuredegradation state of a closed loop control system is predicted by adopting a CVA (Canonical Variate Analysis) method and SFA (Slow Feature Analysis) method to extract features and using the extractedfeatures to train a CHMM (Continuous Hidden Markov Model) for a front-mounted pump of an large-sized fire power generating unit for an intelligent power plant. The method considers the temporal correlation and the changing speed of variables in a dynamic adjusting process of the closed-loop control system simultaneously when the front-mounted pump of the large-sized fire power generating unit fails, the failure degradation state of the closed-loop control system of the front-mounted pump of the large-sized fire power generating unit of the intelligent power plant can be more accurately predicted, and a field engineer takes the prevention measures in advance favorably, so that the safe and reliable operation of the large-sized fire power generating unit is ensured, and the production benefits are improved.

Description

technical field [0001] The invention belongs to the field of fault degradation state prediction of a closed-loop control system, in particular to a method for predicting the fault degradation state of a front pump of a large coal-fired generating set based on closed-loop information analysis. Background technique [0002] In order to achieve the sustainable development of electric power, the thermal power industry is actively carrying out structural adjustments, replacing high-energy small thermal power generating units with large-capacity, high-parameter, and low-energy-consumption large-scale thermal power generating units, and basically forming an electric power system with large thermal power generating units as the main body. energy structure. With the deep integration of informatization and industrialization, promoting the intelligent transformation and upgrading of large thermal power generating units is an inevitable choice to accelerate the construction of an effici...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F04B51/00F04B49/06
CPCF04B49/06F04B51/00
Inventor 赵春晖翁冰雅范海东陈积明孙优贤李清毅沙万里
Owner ZHEJIANG UNIV