33 results about "Fuzzy expert system" patented technology

The invention relates to a motor optimization design method for a multi-objective particle swarm optimization algorithm based on a fuzzy expert system. The method performs motor optimization design by adopting the multi-objective particle swarm optimization algorithm based on the object distance, utilizes the fuzzy expert system to introduce expertise experiences for the motor design in and guidethe particle swarm to move towards the optimum solution set and finally obtains the optimum solution set of the motor design. Since the invention utilizes the expertise experiences to guide the particle swarm to move towards the optimum solution set, the influence of the initial solution selected at random to the solving result is reduced, the precision and the speed of solution of the multi-objective particle swarm optimization algorithm are improved, and the development cycle is quickened.

This invention relates to one plane fault intelligent diagnose method and its system, which comprises the following steps: collecting data expression data and initial fault diagnose based on neural network; collecting initial fault results, message and rules expression fly parameters for secondary diagnose to output the result. the system comprises the following parts: dialogue module based on neural network to collect the data expression data and for initial dialogue based on the net; second dialogue based on blur special system for collecting fault message and initial dialogue result to output second dialogue output.

The invention discloses a method for predicting the remaining life of a flight control computer system, which includes using an airborne health monitoring computer to save historical reliability data of the flight control computer, obtaining work status data, and using a fuzzy expert system to perform fault detection of the flight control computer. degree analysis and life prediction. Working status data is obtained from a set of status sensors. The development of the fuzzy expert system is used to model the reliability of the flight control computer system, evaluate the working conditions of the flight control computer system according to the working state data and fuzzy rule reasoning, perform fault detection and predict the remaining life. The advantage of the invention is that the remaining life of the flight control computer system can be estimated online.

The invention provides a device and a method for intelligent terms conversion. The device comprises a DSP central processing chip, a memory module, a display and keyboard operation module and an uplink-downlink communication module, wherein the memory module, the display and keyboard operation module and the uplink-downlink communication module are connected with the DSP central processing modulerespectively, a front-end computer communication module is connected with a front-end computer through a RS-232 bus, a RS-232 communication module is connected with a plurality of sub-stations RTU bya serial expansion circuit, a term converter is arranged between the RTU and the front-end compute of a power communication system, the uploaded communication protocol of the sub-stations RTU are intelligently recognized by a fuzzy expert system, the format of the recognized terms are converted into a unified terms format, uploaded to the front-end computer, and uploaded to each level of workstation by the front-end computer. The invention has the advantages that operators can realize automatic recognition and conversion of terms of interconnected two parties by the device without knowing theterms types of the interconnected two parties, thus avoiding the error possibly brought by manual operation.

The invention provides a quality control method of caviar in a processing course. The quality control method comprises the following steps: obtaining the standard attribute parameters of the caviar to be processed, wherein the standard attribute parameters comprise the variety and the grade of the caviar; according to the standard attribute parameters, obtaining the mark information of sturgeons to be processed from an attribute database of raw materials namely the sturgeons, wherein the attribute database of the raw materials namely the sturgeons comprises the corresponding relation of the mark information of the raw materials namely the sturgeons and the standard attribute parameters, and the mark information is used for reflecting the attribute of the raw materials namely the sturgeons; according to the mark information of the sturgeons to be processed, obtaining sturgeon roes; determining the pickling time of the sturgeon roes by using a fuzzy expert system; and pickling the cleaned sturgeon roes for the pickling time so as to obtain the caviar. The quality control method disclosed by the invention can ensure the quality of the caviar.

The invention provides an intelligent spectrum system for detecting target molecules, comprising: a mass spectrometer data acquisition system, an intelligent fuzzy expert system, a knowledge base acquisition system and a model acquisition system. Among them, the mass spectrometer data acquisition system is used to detect the mass spectrum data of the sample; the intelligent fuzzy expert system can intelligently analyze the mass spectrum data; the knowledge base acquisition system can pre-store and manage the relevant knowledge related to mass spectrometry detection through the cloud center; the model acquisition system The known mass spectrum model data can be sent to the knowledge management system and the mass spectrum model storage device according to the instruction. The present invention is supported by cloud center computing, through the intelligent learning and storage of the knowledge base collection system, intelligently analyzes the mass spectrum data through the intelligent fuzzy expert system, and can simulate and generate a large amount of training data at a low cost, which is beneficial to the analysis Large samples, suitable for non-professional operations, real-time monitoring of personal health information, to meet the needs of personalized medical services.

The invention relates to a self-adaptive light source lighting system and a self-adaptive light source lighting method for a high-precision image measuring device. The system comprises a light source and a control system, wherein the light source comprises a front light source and a back light source; the control system comprises a microprogrammed control unit (MCU) module, a digital-to-analogue conversion module, a lighting driving module, a serial port communication module and a fuzzy expert system. In the invention, an MCU module is connected with the lighting driving module through the digital-to-analogue conversion module; the serial port communication module performs data exchange with a master personal computer (PC); the PC and the control system form a 'master-slave' lighting control system; the master PC runs a man-machine interface for lighting control and has a built-in fuzzy expert system module and an optimal lighting parameter fuzzy database. When a workpiece is measured, the control system automatically select optimal lighting parameters according to the characteristic parameters of the workpiece to be measured, so the self-adaptive control over the brightness of channel light sources is realized and an image measurement instrument can acquire an optimal image.