Data-driven remaining useful life (RUL) prediction plays a vital role in modern industries. However, unpredictable corruption may occur the collected sensor data due to various disturbances real industrial conditions. To achieve better RUL performance under this situation, we propose novel multi-task method for prediction, which is named deep long short-term memory (MTD-LSTM). In MTD-LSTM, conv...

We present a novel self-stabilizing version of Mazurkiewicz enumeration algorithm [1]. The initial version is based on local rules to enumerate nodes on an anonymous network. [2] presented the first self-stabilizing version of this algorithm which tolerates transient failures with an extension of messages complexity. Our version is based on local detection and correction of transient failures. ...

Overflow occurs when a value is represented in binary using an insufficient number of bits. Values that lie outside the bit range are misinterpreted as values within the bit range. Continuous signals that suffer from integer overflow can be correcting using unwrap functions, but this correction fails when significant noise is present. A new method of correcting signals is proposed which uses mo...

Impulse noise is caused by errors in the data transmission generated in noisy sensors or communication channels, or by errors during the data capture from digital cameras. Noise is usually quantified by the percentage of pixels which are corrupted. Corrupted pixels are either set to the maximum value or have single bits flipped over. In some cases, single pixels are set alternatively to zero or...

this paper presents a new multi-sensor data fusion method based on the combination of wavelettransform (wt) and extended kalman filter (ekf). input data are first filtered by a wavelettransform via daubechies wavelet “db4” functions and the filtered data are then fused based onvariance weights in terms of minimum mean square error. the fused data are finally treated byextended kalman filter for...