Fault diagnostic system and method for under industrial producing process small sample condition
A fault diagnosis system and industrial production technology, applied in general control systems, control/regulation systems, program control, etc., can solve problems such as inability to effectively handle small samples and difficulty in obtaining diagnostic results
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Embodiment 1
[0059] With reference to Fig. 1, Fig. 2, Fig. 3, a kind of fault diagnosis system under the small sample condition of industrial production process, comprises the scene intelligent instrument 2 that is connected with industrial production process object 1, DCS system and upper computer 6, described DCS system It consists of a data interface 3, a control station 4, and a database 5; an intelligent instrument 2, a DCS system, and a host computer 6 are sequentially connected through a field bus, and the host computer 6 includes:
[0060] The standardization processing module 7 is used to standardize the data. The mean value of each variable is 0 and the variance is 1 to obtain the input matrix X. The following process is used to complete:
[0061] 1) Calculate the mean: TX ‾ = 1 N Σ i = 1 N TX ...
Embodiment 2
[0120] With reference to Fig. 1, Fig. 2, Fig. 3, a kind of fault diagnosis method under the small sample condition of industrial production process, described fault diagnosis method comprises the following steps:
[0121] (1), determine the used key variable of fault diagnosis, collect the data of described variable when system is normal and fault respectively from the history database of DCS database as training sample TX;
[0122] (2), in principal component analysis module 9 and support vector machine classifier module 11, set parameters such as principal component analysis variance extraction rate, support vector machine kernel parameter and confidence probability respectively, set the sampling cycle in DCS;
[0123] (3), the training sample TX is in the upper computer 6, and the data is standardized, so that the mean value of each variable is 0, and the variance is 1, and the input matrix X is obtained, and the following process is used to complete:
[0124] 3.1) Calculat...
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