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Automatic modeling method and system for equipment fault early warning

An automatic modeling and equipment failure technology, applied in the direction of design optimization/simulation, etc., can solve the problems of long data modeling implementation cycle, inaccurate early warning, insufficient model precision, etc., achieve accurate data filtering effect, improve accuracy and efficiency , the effect of fast modeling speed

Pending Publication Date: 2020-02-18
上海长庚信息技术股份有限公司
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Problems solved by technology

[0009] For this reason, the embodiment of the present invention provides an automatic modeling method and system for early warning of equipment failure to solve the problems in the prior art of insufficient model precision, inaccurate early warning, long data modeling implementation period and complicated operation

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  • Automatic modeling method and system for equipment fault early warning
  • Automatic modeling method and system for equipment fault early warning

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Embodiment Construction

[0057]The implementation mode of the present invention is illustrated by specific specific examples below, and those who are familiar with this technology can easily understand other advantages and effects of the present invention from the contents disclosed in this description. Obviously, the described embodiments are a part of the present invention. , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0058] An embodiment of the present invention provides an automatic modeling method for equipment failure early warning, figure 1 It is a flowchart of an automatic modeling method for equipment failure early warning provided in an embodiment of the present invention, see figure 1 ,include:

[0059] S1. Obtain original data, and back up the original data;

[0060] Specifically, obtaining raw dat...

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Abstract

The embodiment of the invention discloses an automatic modeling method and system for equipment fault early warning, and relates to the technical field of equipment fault early warning, and the methodcomprises the following steps: obtaining original data, and carrying out the backup of the original data; performing data preprocessing on the original data based on a first digital filtering algorithm; based on a second digital filtering algorithm and a clustering algorithm, performing data filtering on the preprocessed data, and storing a filtering condition; based on the clustering algorithm,performing pattern division on the filtered data, and storing a pattern division condition; obtaining and storing the health data model after mode division; and adjusting parameters of an algorithm byanalyzing the filtering condition, the mode division condition and an early warning result obtained based on the health data model. Compared with the existing modeling process, the embodiment of theinvention is clearer in logic, higher in modeling speed and more accurate in data filtering effect, is driven by data, and does not need complex system and service analysis.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of equipment failure early warning, and in particular to an automatic modeling method and system for equipment failure early warning. Background technique [0002] Fault warning is data modeling for the healthy operation data of the equipment in the system. There can be multiple models under one equipment, and the estimated value of the measuring points on each equipment is calculated through the similarity principle, and then the actual measurement of each measuring point under the model is judged. The deviation between the value and the estimated value can be used to warn of possible failures of the equipment, so that on-site operators can find and solve problems in time, thereby ensuring the safety and reliability of the system. [0003] The existing data modeling process is realized by manual modeling. The software implementation personnel observe the data situation through the data...

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Application Information

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IPC IPC(8): G06F30/20
CPCY02P90/30
Inventor 陈言张延武
Owner 上海长庚信息技术股份有限公司
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