The multi-level linear programming method is used to optimize the diagnosis method of air compressor oil faults, and the multi-level optimization method model of air compressor oil induction fault diagnosis is established. Through spectrum analysis of oxidation abrasive of non-ferrous metals, the type and degree of air compressor faults were judged, and the non-destructive testing of air compressor was completed, which provided a solid theoretical basis for the study of air compressor faults diagnosis methods.
Air compressor is a kind of mechanical power equipment widely used in metallurgy, mining and mechanical manufacturing I I occupation. Because of the chaotic structure of air compressor, the fund projects are: Nanchang University Ph.D. research start-up fund project (06301043); National Natural Science Foundation Youth Fund "Research on reliable and robust planning of agricultural machinery allocation based on SPC feedback quality characteristics" (51305152) for machinery and electronics. Equipment and equipped with automatic testing.
It is difficult to diagnose these two kinds of mechanical faults by routine methods, which brings a lot of trouble to the repair of mechanical faults of air compressors. According to the method of multi-level linear programming, the author optimizes the method of air compressor oil fault diagnosis, establishes a multi-level optimization method model of air compressor oil fault induction diagnosis, and completes the mechanical analysis of air compressor oil fault induction diagnosis method through spectral analysis, obtains the spectrum chart of mechanical fault, which provides the theory for air compressor fault diagnosis and repair skills. On.
There are five kinds of common mechanical faults in air compressor, the most common are abrasive wear and fatigue wear. Therefore, real-time monitoring should be carried out. However, the structure of the air compressor is rather messy, and it is difficult to diagnose by using the general fault diagnosis method. The structure of the air compressor is shown. The chaotic structure of air compressor implies that the fault diagnosis of air compressor can be completed by using multi-level spectrum analysis oil induction analysis method. Usually abrasive wear mechanical fault accompanied by abrasive shedding, it is the most common mechanical fault, accounting for about 50% of the total defect, the author planned the air compressor defect detection plan as shown.
The planned multi-level spectrum analysis and detection plan mainly detects the abrasive particles of non-ferrous metals in real time. After analyzing the weight of different levels of support, change rate and guess rate, the spectrum analysis plan is obtained. After all, six kinds of metals such as Mo, Ca, P are selected as non-ferrous metal abrasive detection metals, and oxidation abrasive is selected as defect detection plan. After the detection of oxidation abrasive, the spectrum display of air compressor defects can be obtained.
The constraint condition is to first solve a single-level problem, assuming the optimal value is r/, and then the problem of the optimal value is transformed into a hypothesis; the value approximates the optimal value of the hierarchy infinitely, and the mechanical defect function can be written as the optimal value of the hierarchy r, and the function mode can be written as a system. Therefore, the minimization function can be constructed: the ideal point method is constructed to solve the optimal solution of the function, and the frequency function of mechanical defects is assumed to be two hierarchical functions: 3. In conclusion, the non-destructive testing of inductive fault diagnosis of air compressor oil is completed by using multi-level optimization method, and a multi-level optimization method model of inductive fault diagnosis of air compressor oil is established, and a multi-level optimization method model of linear programming is given. Subfunction relations and matrices. The spectrogram of the oxidized abrasive particles of the air compressor is obtained by using the principle of spectral analysis, which provides technical support for the diagnosis and repair skills of the air compressor's faults.