UKF-based Real-time Estimation of the Oil Contamination Level and Oil Filter Loading
碩士 === 國立臺灣科技大學 === 機械工程系 === 105 === In this paper, we first establish the mathematical model of the oil filter and construct the estimator with unscented Kalman filter (UKF) to estimate the impurity accumulation quality and the impurity concentration of the oil filter. These is able to determine t...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56802661800433331016 |
| Summary: | 碩士 === 國立臺灣科技大學 === 機械工程系 === 105 === In this paper, we first establish the mathematical model of the oil filter and construct the estimator with unscented Kalman filter (UKF) to estimate the impurity accumulation quality and the impurity concentration of the oil filter. These is able to determine the timing of filter replacement and oil cleanliness diagnosis.In the long-term using of the filter, the internal accumulation of impurities will cause the filter block, and affecting the operation of other components of the oil system. At present, most of the oil filter is based on the time and mileage to determine the timing of replacement. This paper proposed by measuring the filter inlet and outlet pressure and flow of circulation pipeline to instantly estimate the
filter impurity accumulation and oil pollution or other information to take the
initiative to remind users of oil conditions and the timing of the filter replacement
to achieve the goal of early warning. The experimental results show that the
instantaneous estimation based on the unscented Kalman filter (UKF) that can
effectively estimate the accumulative level of the filter impurity and the level of
oil pollution under different operating conditions.
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