May 16, 2019 · This WBPA function is obtained by weighting the distance between sample data and empirical data. With the assumption that the empirical data are ...
This WBPA function is obtained by weighting the distance between sample data and empirical data. With the assumption that the empirical data are normally ...
A new mathematical framework is presented to determine weighted BPA (WBPA), obtained by weighting the distance between sample data and empirical data and ...
Weighted belief function of sensor data fusion in engine fault diagnosis. ... data fusion, Dempster–Shafer evidence theory is widely used in fault diagnosis.
May 16, 2019 · This WBPA function is obtained by weighting the distance between sample data and empirical data. With the assumption that the empirical data are ...
Nov 2, 2020 · Furthermore, this new data fusion method is applied on fault diagnosis of a motor rotor to validate its capacity in real applications.
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The probability distribution is determined by the preliminary matrix and sampling matrix that are constructed by sensor data. And the quality of probability ...
In Section 6, the proposed sensor data fusion method is used for fault diagnosis of a motor rotor. The conclusions are given in Section 7. 2. Preliminaries.
Nov 12, 2018 · The probability distribution is determined by the preliminary matrix and sampling matrix that are constructed by sensor data. And the quality of ...
Engine diagnostics is a typical multi-sensor fusion problem. It involves the use of multi-sensor information such as vibration, sound, pressure and ...