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Elevator fault diagnosis method

A fault diagnosis and elevator technology, which is applied in the field of elevator fault diagnosis based on the C4.5 algorithm, can solve problems such as inability to process data, and achieve the effect of improving accuracy

Inactive Publication Date: 2019-04-16
JINAN UNIVERSITY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the ID3 algorithm, the traditional method of directly using information gain to select attributes tends to select attributes with more values, and cannot process incomplete data.

Method used

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  • Elevator fault diagnosis method

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Experimental program
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Effect test

Embodiment

[0038] A method for elevator fault diagnosis, comprising the following steps:

[0039] S1. Collect fault characteristic sample data generated during elevator operation;

[0040] S2. Use the C4.5 algorithm (that is, the improved decision tree algorithm of ID3) to sort and classify the data, generate the original decision tree T, and then perform information gain, split information, and node pruning on the original decision tree to generate Decision tree model, the fault type in the model adopts multiple branches to adapt to the variety of elevator fault categories, as the basis for elevator fault diagnosis;

[0041] Specifically: After the system collects the fault characteristic sample data generated during the elevator operation, it creates a tree node, selects a certain characteristic value as the root node of the decision tree, and splits from this node by processing the attribute value discrete method. i.e. classification;

[0042] Through the calculation of the informat...

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Abstract

The invention discloses an elevator fault diagnosis method. The method comprises the following steps that fault feature sample data generated during operation of an elevator are collected; the data are organized and classified by using a C4.5 algorithm, an original decision tree T is generated, then the original decision tree is subjected to information gain, information splitting and node pruningprocessing so as to generate a decision tree model, and fault types in the model adopt multiple branches; a data flow containing the fault feature generated during the operation of the elevator is read; the fault feature in the decision tree model is judged according to an IF-THEN rule; and a leaf node of the decision tree is found, and the node is the fault corresponding to the fault feature. The method can be used for generating the multi-branch decision tree model according to the fault type of the elevator, the current fault of the elevator is detected and judged, so that the daily maintenance work efficiency of the elevator is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of elevator fault diagnosis, in particular to an elevator fault diagnosis method based on the C4.5 algorithm. Background technique [0002] With the continuous development of science and technology in our country, elevators are widely used in our lives. However, various faults often occur in elevators, which bring us a lot of inconvenience, so the maintenance of elevators is particularly important. Fault diagnosis of elevator equipment is an important part of elevator maintenance. [0003] With the development of urban construction, the construction rate of elevators has greatly increased. However, due to the lack of qualified elevator maintenance companies and professional elevator maintenance practitioners, the elevators are not well maintained, and failures occur frequently. , seriously affecting people's life and life safety. The structure of the electric mechanical equipment of the elevator is complex...

Claims

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Application Information

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IPC IPC(8): B66B5/00
CPCB66B5/0018
Inventor 周曙张新征黎永熙周政昊刘新东张建芬
Owner JINAN UNIVERSITY