Coal cutter fault mode influence and harmfulness analysis method based on logistics guarantee

Abstract

The invention belongs to the technical field of coal cutter fault detection, and discloses a coal cutter fault mode influence and harmfulness analysis method based on logistics guarantee, which comprises the following steps: S1, determining LSAFMEA analysis candidate items; S2, establishing an FMEA report of the LSAFMEA candidate items; S3, grouping and merging the fault modes of the FMEA report of each LSAFMEA candidate item to form a new LSA fault mode, and merging the corresponding data into the new LSA fault mode; S4, determining a fault detection method of each LSA fault mode of the LSAFMEA candidate item; S5, determining the fault positioning capability according to the fault detection method of the LSA fault mode; S6, determining a maintenance task analysis demand; and S7, compiling an LSAFMEA analysis report. According to the method, the weak link of the whole life cycle stage of the whole product of the coal mining machine can be found and can be used as an important decision-making basis for product quality evaluation and improvement, and proper measures are taken to eliminate or relieve the influence, so that the reliability and the safety of a coal mining machine system are improved, and the operation requirement is met.

Description

technical field [0001] The invention relates to the technical field of fault detection of coal shearers, in particular to a method for analyzing the influence and hazard of shearer fault modes based on logistics support. Background technique [0002] The Failure Mode and Effect Analysis (FMEA) of the coal mining machine system is to analyze each possible failure mode in the system and determine its impact on the product and the upper product, and divide each failure mode into An analytical technique that classifies the severity of its effects, however, FMEA requires analysis and quantification of individual components of each system, such a level of detail is costly for maintenance and its analysis is not comprehensive enough to provide corrective The method and decision-making logic used in the maintenance tasks, the detection ability level of the failure mode, the location ability level and the failure mode level lack connection, and it is impossible to accurately propose ...

AI Technical Summary

Problems solved by technology

[0003] The present invention intends to provide a method for analyzing the impact of failure modes and hazards of coal shearers based on logistics support, so as to solve the problem that the existing analysis system has a high cost and is not comprehensive and effective in analysis, and cannot provide methods and decision logics for corrective maintenance tasks. Moreover, the detection ability level, location ability level and failure mode level of the failure mode lack connection, and it is impossible to accurately propose improvement measures in production, use and maintenance to ensure the reliability and safety of the shearer

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