Method for online calculating number of repeated overhaul times of same fault of fan based on defect list

Abstract

The invention discloses a method for online calculating the number of repeated overhaul times of the same fault of a fan based on defect lists, and the method comprises the following steps: 1) collecting the defect lists created on the same day of a statistical day T0 from a wind field production management system, and forming a set A0; 2) rejecting defect lists of which the states are temporary storage, canceling and discarding states from the set A0 to form a set A; 3) from the n defects of the set A, taking a defect fan ID + equipment KKS + defect phenomenon as a main key; 4) querying defect sheets with the same main key in a statistical time range from a wind field production management system by using the query main key Ki of each defect, and forming a defect sheet set Bi; 5) rejecting the defect sheets with the states of temporary storage, canceling and discarding from the defect sheet set Bi to form a set Ci; 6) enabling the number mi of the defects in the set Ci to be the number of times of repeated overhaul of the fan and the fault corresponding to the query main key Ki; and 7) returning to the step (4), continuing to calculate the repeated overhaul times of other fans and faults by taking Ki + 1 as a query main key until i + 1 is equal to n, and obtaining the number of times of repeated overhaul of the same fault in the statistical time range of the fan subjected to daily fault overhaul. The scientific and rapid index obtaining method is provided for a production management department.

Description

technical field [0001] The invention belongs to the technical field of wind power operation and maintenance, and in particular relates to a single-online defect-based method for calculating the repeated maintenance times of the same fault of a wind turbine. Background technique [0002] The number of repeated inspections of the same fault of the fan refers to the number of times of the same fault inspection of the same component of the same fan that occurred within the past period of time for the fan that has had a fault repair on the day of statistics. It is an important index to evaluate the quality and effect of wind turbine fault elimination. The management department can grasp the failure repetition rate of wind turbines and measure the equipment operation and maintenance level of each wind farm. The current method is for wind farm operators to manually judge by reviewing the historical data of wind farm fan operation and maintenance. However, due to the large number of...

AI Technical Summary

Problems solved by technology

The current method is for wind farm operators to manually judge by reviewing the historical data of wind farm fan operation and maintenance. However, due to the large number of wind turbines, the large time span, and the heavy workload of analysis, it is difficult for the staff to make accurate judgments, and the whole process cannot be obtained. Effective supervision and control prevents the management department from grasping the real production overview of the wind farm and affects production decisions

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