Method for hierarchically diagnosing fault of rod-comprising oil pumping system based on indicator diagram

A technology of system fault and diagnosis method, applied in drill pipe, earthwork drilling, measurement, etc., can solve the problems of difficult to accurately determine boundary conditions and damping coefficients, large number of pumping units, difficult to accurately establish and solve mechanical models, etc.

Inactive Publication Date: 2011-04-13
HOHAI UNIV +1
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Problems solved by technology

This type of method mainly has two problems: first, the rod pumping system is a complex nonlinear system coupled with electromechanical and hydraulic systems, and it is difficult to accurately determine the boundary conditions and damping coefficients, and it is difficult to accurately establish and solve the mechanical properties of the system. The second is that the rod pumping system has the characteristics of large sample size, many steady states, and unbalanced categories, s

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  • Method for hierarchically diagnosing fault of rod-comprising oil pumping system based on indicator diagram
  • Method for hierarchically diagnosing fault of rod-comprising oil pumping system based on indicator diagram
  • Method for hierarchically diagnosing fault of rod-comprising oil pumping system based on indicator diagram

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Embodiment Construction

[0152] Aiming at the characteristics of the rod pumping system and the current problems of fault diagnosis, the present invention provides a fault diagnosis method of the rod pumping system based on the dynamometer diagram, which is divided into two stages of fault identification and fault identification. That is, first in the fault identification stage, the dynamometer diagrams are divided into fault and non-fault classes according to the statistical laws of normal samples; then, the statistical theory and search tree are combined to carry out detailed fault type identification for fault samples. It does not need to establish and solve the mechanical model of the rod pumping system, and there is no training set problem.

[0153] The provided fault identification method for the rod pumping system is divided into two stages of training and identification. In the training phase, after removing abnormal data by t test, the χ 2 The goodness-of-fit test determines the random distr...

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Abstract

The invention discloses a method for hierarchically diagnosing a fault of a rod-comprising oil pumping system based on an indicator diagram. The method comprises two stages, namely a fault distinguishing stage and a fault recognizing stage, and comprises the following steps of: dividing the indicator diagram into a fault class and a non-fault class according to a statistical law of the normal sample at the fault distinguishing stage; and recognizing a fault type of a fault sample by a search tree method for recognizing the fault of the rod-comprising oil pumping system based on the indicator diagram. By the method, the fault diagnosis performance of a fault diagnosis system is improved, a mechanical model of the rod-comprising oil pumping system does not need establishing or resolving, the problem of a training set is solved, and the basic features of the rod-comprising oil pumping system can be reflected.

Description

technical field [0001] The invention relates to a fault diagnosis method for a rod pumping system based on a dynamometer diagram, in particular to a fault diagnosis method for a rod pumping system based on a dynamometer graph, and belongs to the technology of a fault diagnosis method for a rod pumping system field. Background technique [0002] The rod pumping system has a bad working environment and a high probability of failure. If it is not diagnosed in time, it will cause waste of energy, affect production, and cause losses to enterprises and the country. [0003] At present, the fault diagnosis of the rod pumping system is mainly based on the dynamometer diagram on the ground, and the pumping diagram obtained through the mechanical model of the rod pumping system, and then the pumping diagrams of normal samples and as many types of fault samples as possible are used as training sets. After the corresponding model is trained, fault diagnosis is performed on each sample....

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Application Information

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IPC IPC(8): E21B47/00E21B17/00
Inventor 梁华唐敢李训铭
Owner HOHAI UNIV
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