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Multilevel stacked CMAC model for equipment performance evaluation

A technology of equipment performance and model, which is applied to the monitoring of mechanical equipment, engine functions, wind turbines, etc., can solve the problem that the CMAC model is difficult to accurately and effectively evaluate the performance situation, loss, etc., achieve simple and feasible performance evaluation, avoid storage problems, The effect of enhancing usability

Inactive Publication Date: 2018-05-22
SHANGHAI DIANJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If there are too many parameters that reflect the performance of the equipment, some methods of feature extraction can be used to reduce the input dimension, such as principal component analysis, but dimensionality reduction must be at the cost of losing part of the information
Therefore, for equipment that needs to be monitored with a complex structure and a large number of parts, it is difficult for a single CMAC model to accurately and effectively evaluate its performance.

Method used

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  • Multilevel stacked CMAC model for equipment performance evaluation
  • Multilevel stacked CMAC model for equipment performance evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1. The main components of typical horizontal-axis wind power generation equipment include several parts such as blades, hubs, transmission systems (main shaft, couplings and gearboxes), generators, control systems, yaw systems, and towers. The performance evaluation of wind power generation equipment is mainly carried out on these key components. Corresponding to different key components, a multi-layer hierarchical subsystem model can be established. The first layer is the whole wind power generation equipment, the second layer includes blades, transmission system, generator, control system, and yaw system, and the transmission system can be divided into two subsystems, the main shaft and the gearbox, on the third layer. The division of subsystems should conform to the specific conditions of the equipment.

Embodiment 2

[0041] Embodiment 2. Corresponding to each subsystem of the bottom layer, the signals to be measured are also different. For example, in embodiment 1, the main shaft mainly measures vibration signals, while the control system mainly measures voltage and current, and the air pressure and hydraulic systems mainly measure pressure and temperature. , oil level, etc.

Embodiment 3

[0042] Embodiment 3. Corresponding to each subsystem, the feature quantity input by CMAC should be reasonably extracted according to the signal form. For example, general signals, such as voltage and current, can extract the maximum value, minimum value, and average value, but for vibration signals, except for time In addition to domain features, the magnitude of the frequency domain after Fourier transform can also be extracted.

[0043] Divide the equipment into a multi-level subsystem structure, and these subsystems constitute a relatively independent part in terms of structure or function; use this hierarchical structure of the equipment to establish a corresponding multi-level stacked CMAC model, so that each CMAC corresponds to a subsystem, The input of each CMAC can be reduced, which meets the situation that CMAC is suitable for inputting 3-5 feature quantities, and avoids the storage problem caused by too much input of CMAC.

[0044]Using this model can solve the probl...

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Abstract

A multilevel stacked CMAC model for equipment performance evaluation comprises multiple levels of subsystems and multiple levels of stacked CMACs. The multiple levels of subsystems include n lower level subsystems which are a first subsystem, a second subsystem ...and an Nth subsystem. The multiple levels of stacked CMACs correspond to the multiple levels of subsystems in a one-to-one manner. Onesubsystem corresponds to one CMAC, and a multilevel stacked CMAC model is formed. By means of the multilevel stacked CMAC model for equipment performance evaluation, the performance evaluation problemof complex equipment can be solved, and the performance evaluation of the complex equipment is easy and practical. By adopting a multilevel stacked structure, evaluation layer by layer and tracing layer by layer can be carried out, and the subsystem with performance degradation or reasons can be quickly judged by checking the output of the lower level of CMACs of the multilevel stacked structure.The multilevel stacked CMAC model is established through the multilevel structure, each CMAC corresponds to one subsystem, the input of each CMAC can be reduced, the input characteristic quantity ofeach CMAC is about 3-5, the storage problem caused by too much input quantity of the CMAC is avoided, and the practicality of the CMAC in equipment performance evaluation is greatly enhanced.

Description

technical field [0001] The invention relates to the field of equipment intelligent maintenance, in particular to a multi-level stacked CMAC model used for equipment performance evaluation. Background technique [0002] With the development of signal processing methods and artificial intelligence theory, intelligent equipment maintenance technology based on prediction and prevention is gradually replacing the traditional post-failure maintenance maintenance method, becoming the development trend of equipment maintenance, which will be used in signal processing methods CMAC, the so-called CMAC is the cerebellum model node controller. CMAC is widely used in equipment performance evaluation, but there is a problem in the application of CMAC. If there are too many input variables of CMAC, and the quantization range of each variable is relatively large, The physical space required for weight storage is relatively large, which limits the application of CMAC. Generally, the input o...

Claims

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Application Information

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IPC IPC(8): F03D17/00
CPCF03D17/00F05B2260/84
Inventor 张蕾杨宇峰
Owner SHANGHAI DIANJI UNIV
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