This paper introduces the high efficiency of a horizontal rolling piston type compressor for household refrigerators. In the rolling piston type compressor, excessive compression loss and leakage loss largely affects the efficiency of the compressor. An experimental analysis of the following three items was made to determine that the performance characteristics of the compressor could be improv...

Traditional methods for predicting remaining useful life (RUL) ignore the correlation between physical world data and virtual data, leading to low prediction accuracy of RUL affecting normal working rolling element bearing (REB). To solve above problem, we propose a hybrid method based on digital twin (DT) long short-term memory (LSTM). The combines high simulation capabilities DT strong proces...

Life prediction of rolling element bearing is the urgent demand in engineering practice, and the effective life prediction technique is beneficial to predictive maintenance. Support vector machine (SVM) is a novel machine learning method based on statistical learning theory, and is of advantage in prediction. This paper develops SVM-based model for bearing life prediction. The inputs of the mod...

The early fault characteristics of rolling element bearings carried by vibration signals are quite weak because the signals are generally masked by heavy background noise. To extract the weak fault characteristics of bearings from the signals, an improved spectral kurtosis (SK) method is proposed based on maximum correlated kurtosis deconvolution (MCKD). The proposed method combines the ability...

In order to study the on-line fault monitoring and diagnosing for the rolling bearing this paper proposes a resonant demodulation measurement with an adaptive frequency selection based on LabVIEW. The wavelet packet function is used to decompose and reconstruct the measured vibration signal to extract the fault information accurately under the noise background. The kurtosis value of the signal ...