[특허]Data processing system using a Kalman Filter

Data processing system using a Kalman Filter 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G01M-015/00
출원번호	US-0649296 (1991-01-30)
우선권정보	GB-0025585 (1987-10-31)
발명자 / 주소	Provost Michael J. (Nottingham GB2) Nevell David A. (Derby GB2)
출원인 / 주소	Rolls-Royce plc (London GB2 03)
인용정보	피인용 횟수 : 37 인용 특허 : 0

초록 ▼

For processing data relating to the performance of an apparatus, the data is analyzed using a Kalman Filter. After a first pass of data through the filter, the results are refined by discarding at least one less significant component performance change and/or sensor bias. The Kalman Filter is then re-run using the modified data. As further runs of the Kalman Filter are performed, as required, the input of each successive run is refined by discarding from the preceding run at least one further component performance change and/or sensor bias. For each run, an objective function is evaluated for the amount of unexplained measurement change and/or the amount of component performance change and sensor bias. The run whose results show an acceptable value for the objective function is selected as the best solution. In this way, the tendency of the Kalman Filter to distribute the cause of any sensed performance change over all the possible sources of that change is avoided. The sets of measurement data are then analyzed to determine levels and/or trends in component performance and sensor bias.

대표청구항 ▼

A method for maintaining an apparatus of the type having a performance measurement system, the apparatus including a plurality of components whose individual performances affect the performance of the apparatus and a plurality of sensors included in the performance measurement system with said sensors giving inputs thereto, said inputs being subject to bias, said sensor biases producing error in the measured performance of the apparatus, the method comprising processing performance data of the apparatus to determine changes in component performance and magnitude of sensor biases in a series of performance measurements, comprising the steps of: a) defining a priori information required by a Kalman filter, comprising: i) a covariance matrix of component performance changes and sensor biases; ii) a measurement non-repeatability covariance matrix; and iii) a system matrix which provides relationships between observed performance measurement changes and component performance changes and sensor biases; b) obtaining performance measurement from the apparatus; c) obtaining datum levels of the performance measurement from the apparatus; d) using data obtained in steps (b) and (c) to calculate performance measurement differences from datum levels; e) using data obtained in steps (a) and (d) to derive a most likely set of component changes and sensor biases by employing a Kalman filter; f) evaluating an objective function giving a measure of at least one of an amount of unexplained measurement change and, an amount of component performance change and amount of sensor bias in a solution from (e); g) discarding at least one of the component performance changes and sensor biases to leave at least one of said component performances changes and sensor biases for evaluation; h) repeating steps (e) to (g) until the total number of component performance changes and sensor biases remaining is one; i) considering sets of estimated component performance changes and sensor biases produced in each pass of step (e), together with the corresponding objective function evaluated according to step (f), to identify as a best answer that pass which has produced a minimum number of component performance changes and sensor biases which satisfactorily account for the observed performance measurement differences; and j) altering at least one of the components and sensors which are indicated by the said best answer as having most probably contributed to the observed performance measurement changes, thereby to achieve at least one of improving the performance of the apparatus and reducing the error in the measured performance of the apparatus.

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IPC	Description
A	생활필수품
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A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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Data processing system using a Kalman Filter 원문보기

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Data processing system using a Kalman Filter 원문보기

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