[특허]Method for recognition of abnormal conditions using neural networks

Method for recognition of abnormal conditions using neural networks 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-015/18
출원번호	US-0885696 (1992-05-19)
우선권정보	JP-0048129 (1990-02-28)
발명자 / 주소	Niida Kazuo (Yokohama JPX) Koshijima Ichirou (Zushi JPX) Tani Jun (Kawasaki JPX) Hirobe Toshikazu (Tokyo JPX)
출원인 / 주소	Chiyoda Corporation (Yokohama JPX 03)
인용정보	피인용 횟수 : 48 인용 특허 : 0

초록 ▼

According to the present invention, a method for recognition of normal and abnormal conditions can be performed with at least one neural network. First, trend data of an object system, before a recognition-step, are entered as input data to an input layer of each neural network and data of this system at the recognition-step are entered as objective output data to an output layer of the neural network. Thus, multiple sets of trend data showing at least one normal condition of this system are formed in the neural network in order to obtained learned weights and biases. Next, output data at every recognition-step are predicted by entering actual trend data as input data to the neural network, while the learned weights and biases are utilized. Then, the predicted output data are compared with actual output data at every recognition-step. Finally, the normal and abnormal conditions of this system can be recognized by real time interpretation of deviations between the predicted output data and the actual output data. The method of the present invention particularly can be applied to a control system requiring the recognition of abnormal conditions such as a control system for the operation of a plant, an automobile, a robot, an aircraft, a marine vessel, a medical apparatus, security apparatus and the like.

대표청구항 ▼

A method of recognizing normal and abnormal conditions in real time of an object system and outputting the recognition, said object system having at least one neural network, said object system including at least one human operator providing input thereto, input data for said object system including input from said at least one human operator, said method comprising the steps of: setting bias and weight for each node of the neural network; inputting a plurality of sets of dynamic input trend data indicating normal operating conditions of said object system into said neural network, said normal operating conditions including operator errors; determining a plurality of sets of predicted output data based upon a sigmoid function of said plurality of sets of input data and said biases and weights; inputting a plurality of sets of output data indicating normal output results of said object system into said neural network; determining a difference between each set of predicted output data and each corresponding set of output data which indicates normal results; minimizing differences between input data and output data by changing the bias and weight for each node of the neural network; determining a deviation range for predicted output data based on the minimized differences; inputting past trend data into said neural network and into said object system; determining predicted output data from said neural network based on said bias and weight from each node; determining real-time actual output data from said object system; comparing differences between actual output data from said object system and predicted output data from said neural network; determining if the difference is within said deviation range indicating a normal real-time condition; determining if the difference is outside said deviation range indicating an abnormal real-time condition; and outputting a warning when said abnormal real-time condition exists in said object system based upon said determination of normal and abnormal real-time conditions.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

내보내기 구분	파일저장 인쇄 메일전송
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연합인증

Method for recognition of abnormal conditions using neural networks 원문보기

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Method for recognition of abnormal conditions using neural networks 원문보기

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