Rolling bearings are frequently subjected to high stresses within modern machines. To prevent bearing failures, the topics of condition monitoring and predictive maintenance have become increasingly relevant. In order efficiently reliably maintain rolling in a manner, an estimate remaining useful life (RUL) is great interest. The RUL prediction quality achieved when using machine learning depen...

Bearing failure is one of the dominant causes of failure and breakdowns in rotating machinery, leading to huge economic loss. Aiming at the nonstationary and nonlinear characteristics of bearing vibration signals as well as the complexity of condition-indicating information distribution in the signals, a novel rolling element bearing fault diagnosis method based on multifractal theory and gray ...

The rolling element bearingsare most critical components in a machine. Condition monitoring and fault diagnostics of these bearings are of great concern in industries as most rotating machine failures are often linked to bearing failures. This paper presents a methodology for fault diagnosis of rolling element bearings based on discrete wavelet transform (DWT) and wavelet packet transform (WPT)...

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...

Rolling bearings are treated as important machinery power components, faults of rolling affect operation, so an intelligent fault diagnosis method is very useful safety operation in bearings. This paper proposes a novel based on improved Adaptive Deep Convolution Neural Networks algorithm to realize recognition for First, the Continuous Wavelet Transform (CWT) applied time-frequency decompositi...

................................................................................................. i ... TABLE OF CONTENTS ................................................................................. 111 LIST OF TABLES ........................................................................................ vi . . LIST OF FIGURES .................................................................

Flow-enhanced cell adhesion is an unexplained phenomenon that might result from a transport-dependent increase in on-rates or a force-dependent decrease in off-rates of adhesive bonds. L-selectin requires a threshold shear to support leukocyte rolling on P-selectin glycoprotein ligand-1 (PSGL-1) and other vascular ligands. Low forces decrease L-selectin-PSGL-1 off-rates (catch bonds), whereas h...

Abstract: This study proposes a novel fault diagnosis method that is based on empirical wavelet transform (EWT) and kernel density estimation classifier (KDEC), which can well diagnose fault type of the rolling element bearings. With the proposed fault diagnosis method, the vibration signal of rolling element bearing was firstly decomposed into a series of F modes by EWT, and the root mean squa...

Test rolling is a quality assessment technique performed on road construction materials to verify consistency prior to paving. In this test, the depth to which the wheels of a heavy vehicle penetrate the material is used as a measure of quality. Current test rolling specifications are based largely on empirical data. In this paper, theoretical models are presented for the case of a test roller ...