Sliding window constrained fault-tolerant filtering of compressor vibration data
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This paper presents a sliding window constrained fault-tolerant filtering method for sampling data in petrochemical instrumentation. The method requires the design of an appropriate sliding window width based on the time series, as well as the expansion of both ends of the series. By utilizing a sliding window constraint function, the method produces a smoothed estimate for the current moment within the window. As the window advances, a series of smoothed estimates of the original sampled data is generated. Subsequently, the original series is subtracted from this smoothed estimate to create a new series that represents the differences between the two. This difference series is then subjected to an additional smoothing estimation process, and the resulting smoothed estimates are employed to compensate for the smoothed estimates of original sampled series. The experimental results indicate that, compared with sliding mean filtering, sliding median filtering, and Savitzky-Golay filtering,..., , , # Sliding window constrained fault-tolerant filtering of compressor vibration data
[https://doi.org/10.5061/dryad.pc866t20z](https://doi.org/10.5061/dryad.pc866t20z)
## Description of the data and file structure
Data type
Files containing âfdata1case1â in the file represents the case \"1\" of the location of the outlier in the measured data \"1\", and so on;
Files containing âfwavedataâ in the file name are wave signals with outliers;
Files containing âfwave2dataâ in the file name are polynomial signals with outliers;
Files containing ânormaldataâ in the file name are normal measured data;
Files containing ânormalwavedataâ in the file name are normal wave signals;
Files containing ânormalwave2dataâ in the file name are normal polynomial signals;
Files containing âftffilteredâ in the file name indicate that the data have been processed by sliding-window constrained error-tolerant filtering;
Files containing âsgfilteredâ in the file name indicate data after Savitzky-Golay filtering...
创建时间:
2025-02-05



