Method and device for analyzing life of expressway electromechanical equipment
A technology of electromechanical equipment and highways, applied in the computer field, can solve the problems of judging the probability and state of equipment failure, equipment life prediction does not accurately determine the effective life and service life, and cannot deal with sporadic accidents, etc., to achieve accurate effective life and The effect of long service life and wide range of use
Inactive Publication Date: 2018-11-06
招商新智科技有限公司
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Problems solved by technology
Electromechanical equipment will fail due to various reasons during operation, and also cannot cope with occasional accidents due to its own performance.
Furthermore, electromechanical equipment is often easily affected by environmental factors, and the unstable external environment has brought many sudden failures to the maintenance and management of electromechanical equipment.
In the existing research on the mechanical and electrical life of highways, the Markov chain method has not been applied to this field, and the life prediction of equipment has not accurately judged the specific effective life and service life, nor can it be based on historical conditions. Judging the future failure probability and state of the equipment
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[0065] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
[0066] First, the Markov property is explained. Let {X(t), t∈T} (T={1,2,...}) be a random process. If {X(t), t∈T} at t 0 When the state at time is known, t 0 The state after and it is at time t 0 If the previous state is irrelevant, it is said to have Markov property. The technical solution of the present invention utilizes the Markov property of the failure occurrence ...
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The invention discloses a method and a device for analyzing the life of expressway electromechanical equipment, and relates to the technical field of computers. One specific implementation way of themethod comprises the following steps that: obtaining sample data, wherein the sample data comprises the operation state of the electromechanical equipment at each historical time point; according to the sample data, constructing the one-step transition probability matrix of the operation state of the electromechanical equipment; according to the one-step transition probability matrix, calculatingthe state limiting probability tendency of the operation state of the electromechanical equipment; according to the state limiting probability tendency, constructing the fault probability graph of theelectromechanical equipment; and analyzing the fault probability graph to obtain the service life of the electromechanical equipment. By use of the implementation way, the prediction accuracy of theactual life and the service life of the expressway electromechanical equipment can be improved, and the functions of preventing accidents, reducing fault losses and prolonging the life of the equipment can be performed for the maintenance and management work of the expressway electromechanical equipment.
Description
technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for life analysis of expressway electromechanical equipment. Background technique [0002] Before using the Markov chain to study the life of expressway electromechanical equipment, there have been many studies on the life of equipment in different fields from different angles. For example, in terms of mechanical parts, a life prediction method under various assumptions a priori is proposed for bearing sensor signals, and Bayesian theory is used to iteratively estimate the remaining life at each moment. In the electrical field, the method of Wiener process is used to predict the remaining life prediction of lithium electronic batteries. In the engineering field, the failure data is used to calculate the similarity to obtain the remaining life of the engineering system. In the field of aviation, a life prediction method for satellite key components based on...
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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 于泉杜渐郭增增
Owner 招商新智科技有限公司
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