Method for foresting demand of wind generating set for spare parts based on fault tree analysis

A technology for wind turbines and fault tree analysis, applied in prediction, instrumentation, data processing applications, etc., can solve problems such as inaccurate results, achieve the effects of reducing operation and maintenance costs, reducing inventory costs, and improving the use efficiency of spare parts

CN106980913AActive Publication Date: 2017-07-25ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2017-07-25

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Abstract

The invention discloses a method for forecasting the demand of a wind generating set for spare parts based on fault tree analysis. The method comprises the steps of firstly building an abstract model of a wind generating set fault tree; then acquiring the daily annual fault probability of components corresponding to each bottom event in the fault tree; building a fault tree simulation model by using a Simulink platform, and simplifying a Boolean function expression of a top event; solving a minimum cutest of the fault tree; compiling a numerical operation sub-function for calculating the probability importance degree and key importance indexes of each bottom event; inputting the daily annual fault probability of each bottom event by a user, and calling the sub-function to output the probability importance degree and key importance indexes; and calculating the number of spare parts of each component in a future stage. The method disclosed by the invention is based on the wind generating set fault tree, adjustable in model parameter, capable of adapting to product differentiation of different manufacturers and different working conditions, fault reasons of the wind generating set are detailed, the utilization efficiency of the spare parts is improved, the inventory cost is reduced, and so that the objective of reducing the operation and maintenance cost of wind power generation enterprises is achieved.
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Description

technical field

[0001] The invention relates to the field of fault diagnosis of wind power generators, in particular to the problem of spare parts for wind power generators with variable speed and variable pitch. Background technique

[0002] As a green, pollution-free and renewable new energy, wind energy is of great significance for solving environmental pollution and energy crisis. In recent years, wind power conversion technology has developed rapidly around the world, and the field of wind power generation has sprung up. By the end of 2016, the total installed capacity of wind turbines reached 486,749 megawatts, of which China accounted for 34.66%, ranking first in the world.

[0003] As a new type of equipment in an emerging industry, wind turbines also show new characteristics in the demand for spare parts: there are many types of spare parts, large quantities of demand, poor versatility of spare parts, long procurement cycle, and loss of spare parts due to shortage ...

Examples

Embodiment

[0107] In this embodiment, a spare parts demand prediction analysis is performed on the yaw angle overrun fault of a certain type of rated power 1.5MW large-scale wind turbine produced by a certain wind power company limited company.

[0108] attached Figure 23 It uses the Simulink platform of MATLAB software to build a fault tree simulation model for the automatic untwisting fault of the wind turbine. attached Figure 24 is the human-computer interaction interface of the fault tree simulation model, where "open mdl profile" is to execute the operation of opening the simulation file, "close mdl profile" is to execute the operation of closing the simulation file, "executemdl profile" is to execute the operation of starting the simulation, It is the operation of solving the minimum cut set of the fault tree. "calculateimportance" is the operation to calculate the key importance of each bottom event. Before the calculation, it is necessary to manually input the daily chemical a...