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Control method for online quality detection

A control method and quality technology, applied in the direction of adaptive control, electrical program control, general control system, etc., can solve problems such as unreasonable quality control plan standards, inability to effectively analyze massive quality inspection data, etc., and achieve early warning of process abnormalities and intelligent diagnosis, the effect of reasonable quality control plan standards

Inactive Publication Date: 2007-03-07
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of existing online quality detection methods that cannot effectively analyze massive quality detection data and unreasonable quality control plan standards, the present invention provides a method that can effectively analyze massive quality detection data, realize early warning of process abnormalities and intelligent diagnosis, Reasonably determine the control method of the online quality inspection of the quality control plan standard

Method used

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  • Control method for online quality detection
  • Control method for online quality detection
  • Control method for online quality detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] With reference to Fig. 1, Fig. 2, Fig. 3, a kind of control method of online quality detection, described control method comprises the following steps:

[0036] (1) Establish a case base and a rule base: In the case base, record the abnormal cases, abnormal causes and solutions for each online quality control process, and decompose the characteristic attributes of each case; in the rule base, through expert knowledge and Association rule mining establishes rules for various cases;

[0037] (2) In the process of product online quality inspection, abnormal cases are found;

[0038] (3), abnormal diagnosis:

[0039] (3.1) Decompose the current abnormal case into characteristic attributes, and compare it with the existing cases in the case library:

[0040] The nearest neighbor method is used to calculate the similarity between two cases, and the calculation formula is shown in formula (1):

[0041] NN ( A , ...

Embodiment 2

[0165] Referring to FIG. 1 , FIG. 2 , and FIG. 3 , use the online quality detection control method of Embodiment 1 to detect abnormal motor quality cases.

[0166] Fault history: On October 22, 2004, in the motor product inspection workshop, the no-load current Io of a certain type of Y802-2 motor was detected to be normal, and the no-load loss Po was normal, but the short-circuit current Id was too small and the short-circuit power consumption Pd was too large symptoms.

[0167] Cause of failure: Through analysis and testing, it is found that the rotor resistance is too large. Check the motor rotor and find that the rotor is defective in cast aluminum.

[0168] Measures to be taken: (1) replace the motor rotor; (2) strengthen the quality inspection of the rotor casting.

[0169] First, analyze the failure process of the above case, and the following information can be extracted:

[0170] Motor model: Y802-2

[0171] No-load current Io: normal

[0172] No-load loss Po: nor...

Embodiment 3

[0186] Referring to Figure 1, Figure 2, and Figure 3, use the online quality detection control method of Example 1 to detect abnormal motor quality cases.

[0187]Fault process: In the processing workshop of the motor spindle, the machine tool model is C6132, and the speed is 1200r / min. A certain type of motor spindle is D203, the material is A3, and the shaft diameter is (φ20±0.005). It is found that the points of the spindle measurement control chart often show abnormalities. The abnormal phenomena are: the points fall outside the control limit, and there is a large offset between the center line and the specification center.

[0188] Cause analysis: first adjust the tooling to ensure that the center line coincides with the specification center. After the adjustment, it was found that there were still many out-of-boundary points. Finally, it was analyzed that the precision of the main shaft of the machine tool could not meet the processing requirements. It can be seen that ...

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Abstract

This invention relates to online quality test control method and to mechanic process and computer software field and comprises the following steps: a, establishing case base and rules and recording each quality abnormal case, reasons and resolutions and analyzing each case property; in rules data, the specialist knowledge and related rules digging to establish each case rules; in the test process, finding out abnormal case; processing abnormal case diagnose to get resolution.

Description

(1) Technical field [0001] The invention relates to the field of mechanical manufacturing and computer software, in particular to the formation and control operation of quality data control rules used in the product manufacturing process. (2) Background technology [0002] Usually, the quality control in the product manufacturing process is carried out by using mechanical measuring equipment or electronic measuring equipment system, so as to screen and realize the quality requirements of each process in the product production process. However, whether the product quality meets the requirements is mainly through the quality inspection personnel to determine whether a specific process of a certain (batch) product meets the quality requirements according to the requirements of the quality plan and against the relevant quality standards. In the quality control process, the quality inspector is passive, and the designer of the quality plan is the initiative of quality control. In...

Claims

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Application Information

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IPC IPC(8): G05B13/04G05B19/04
Inventor 孙毅毛亚朗
Owner ZHEJIANG UNIV OF TECH
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