Quantitative evaluation method for reliability of multi-phase motor windings based on Markov model
A Markov model and multi-phase motor technology, which is applied in the field of motor windings, can solve the problems of not considering the success rate of fault tolerance and state transition, and the complexity of the calculation process, so as to simplify the calculation amount and improve the calculation efficiency.
Active Publication Date: 2021-11-30
ANHUI UNIVERSITY
View PDF10 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
When calculating the reliability of multi-phase traditional Markov method, the transition probability between states is equal to the failure rate of failure, without considering the fault tolerance success rate and state transition success rate, and the quantitative evaluation calculation process needs to first obtain the reliability by calculating the ordinary differential equation The function then calculates the average time before failure through the formula, and the calculation process is complicated
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0040] refer to figure 1 , a method for quantitatively evaluating the reliability of a multi-phase motor winding based on a Markov model proposed by the present invention includes the following steps.
[0041] S1. List the fault-tolerant state of the multi-phase motor winding. The fault-tolerant state is the working state with faults in which the multi-phase motor winding maintains reliable operation. Reliable operation means that the output torque of the multi-phase motor winding is not less than the preset output threshold. That is, the fault-tolerant state is a working state with faults when the output torque of the windings of the multi-phase motor is not less than a preset output threshold.
[0042] Specifically, for a multi-phase motor winding, as long as the number of phases of the healthy winding satisfies a certain number, reliable operation can be guaranteed. That is, the fault-tolerant state includes: one-phase broken state, two-phase broken state... broken x-phase...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
A method for quantitatively evaluating the reliability of multiphase motor windings based on the Markov model proposed by the present invention includes: enumerating the fault-tolerant states of multiphase motor windings; calculating the success rate of state transitions between reliable working states of multiphase motor windings; Calculate the success rate of the state transition from each reliable working state to the failure state; combine the state transition success rate obtained in the above two steps to establish the Markov state transition diagram and the corresponding state transition matrix A, and then calculate the average time before failure matrix T; The mean time to failure matrix T is substituted into the MTTF function to form the mean time to failure function, and the reliability of multi-phase motor windings is evaluated according to the mean time to failure function. The invention not only considers the failure rate of different failures, but also considers the influence of the success rate of the fault tolerance mechanism and the success transfer probability between working states on the reliability, so that the final average time before failure function can be applied to different situations.
Description
technical field [0001] The invention relates to the technical field of motor windings, in particular to a Markov model-based reliability quantitative evaluation method for multi-phase motor windings. Background technique [0002] The Markov model is an effective method for evaluating the reliability of a random process, which can clearly describe the transition process of the system from a healthy state to a failure state. The motor winding is the most important part of the motor body, and it is also the part most prone to failure of the motor. The main faults of windings include turn-to-turn short circuit, winding open circuit and phase-to-phase short circuit. A slight turn-to-turn short circuit of the winding will not have a great impact on the performance, and a severe turn-to-turn short circuit fault is approximately an open circuit fault. Because the phase-to-phase short-circuit fault will directly burn the windings, the faulty two-phase windings are disconnected imme...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34
CPCG01R31/346
Inventor 李伟丁石川杭俊王群京
Owner ANHUI UNIVERSITY