Method and system for health evaluation of equipment under multi-mode based on cross-entropy method
A technology of cross-entropy and health, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to accurately evaluate equipment health in multiple modes, and achieve the goal of preventing over-fitting and improving accuracy Effect
Active Publication Date: 2018-07-20
HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD
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Problems solved by technology
[0005] In order to overcome the problem that the existing technology cannot accurately evaluate the health of equipment under multiple modes, the present invention provides a method and system for evaluating the health of equipment under multiple modes based on the cross-entropy method
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Embodiment 2
[0091] In order to verify the effectiveness of the cross-entropy method-based multi-mode device health evaluation method based on the cross-entropy method, this embodiment is verified by simulation.
[0092] Table 1 shows the parameters of three known Gaussian mixture models GMM1, GMM2 and GMM3. Figure 5 Intuitively draw the outer contour lines of the probability density functions of the three Gaussian mixture modes projected on the two-dimensional plane, and it can be seen that each model is composed of 4 single modes.
[0093]
[0094]
[0095] Table 1
[0096] From Table 1 and Figure 5 It can be seen in all that GMM2 has a certain degree of deviation from GMM1, and GMM3 has a more serious deviation than GMM1. Assuming that GMM1 is a healthy Gaussian mixture model, GMM2 and GMM3 can be regarded as operating Gaussian mixture models when equipment or components begin to experience a certain decline and a severe decline.
[0097] In step S1, three known healthy Gaussian mixture model...
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The invention provides a health degree assessment method and system for equipment under multiple modes based on a cross entropy method. The method comprises the steps that health data and operating data of the equipment or a component in the equipment are acquired; feature extraction is performed on the acquired health data and operating data to form a health feature database and an operating feature database; the number of Gaussian modes in a Gaussian mixed model is determined by the adoption of the cross entropy method according to the data in the health feature database; a health Gaussian mixed model is established according to the data in the health feature database and the determined number of Gaussian modes, and an operating Gaussian mixed model is established according to the operating feature database and the determined number of Gaussian modes; the coincidence degree of the health Gaussian mixed model and the operating Gaussian mixed model under multiple modes is calculated; and the health degree of the equipment or the component is assessed according to the coincidence degree obtained through calculation.
Description
Technical field [0001] The present invention relates to the field of life prediction and health management of equipment, and in particular to a method and system for evaluating the health of equipment in multiple modes based on a cross-entropy method. Background technique [0002] With the rapid development of modern intelligent manufacturing, the structure, function and operating environment of equipment (such as industrial robots) are becoming more and more complex, and the burden of production tasks and economic affordability requirements are also getting higher. Due to the lack of timely understanding and mastery of the health status of the equipment in traditional after-maintenance and regular maintenance methods, maintenance management lacks intelligibility, pertinence and scientificity. Therefore, exploring and researching reliable equipment health assessment methods is of great significance to modern manufacturing. [0003] At present, the main methods of health assessment...
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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 吴芳基李杰倪军
Owner HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD