A continuing task in engineering is to increase the reliability, availability and safety of technical processes and to achieve these fault diagnosis becomes an advanced supervision tool in the present industries. Vibration in rotating machinery is mostly caused by unbalance, misalignment, shaft crack, mechanical looseness and other malfunctions. The objective of this paper is to propose a model...

This paper investigates fault detection of a roller bearing system using a wavelet denoising scheme and proper orthogonal value (POV) of an intrinsic mode function (IMF) covariance matrix. The IMF of the bearing vibration signal is obtained through empirical mode decomposition (EMD). The signal screening process in the wavelet domain eliminates noise-corrupted portions that may lead to inaccura...

The ability of the electromagnetic flux measured in various locations of a 35-kW cage induction motor to provide useful information about faults was investigated. The usefulness of this monitoring parameter was assessed in comparison with some other electrical parameters used for fault detection, such as stator phase current and circulating currents between the parallel branches of the stator w...

This paper describes a newly developed fault feature extraction method for bearing prognostics. The effectiveness of the method is demonstrated with real bearing run-to-failure test data. Experimental results show that with the growth of the bearing defective area, the method is able to indicate clearer trends than the traditional condition indicators, such as RMS, the peak value, the amplitude...

This paper presents a signal-based fault detection scheme for input gripping pliers of the blow molding machine in plastic bottling plants, using accelerometers data. The focus diagnosis is on bearings that support movements their mechanical cam. Therationale algorithm lies interpreting pliers\x92 as balls traditional rolling bearing. Then, strategies inspired by bearing are employed and adapte...

Rolling bearing performance degradation assessment has been receiving much attention for which itscrucial role to realize CBM(condition-based maintenance).This paper proposed a novel bearing performance degradation method based on TESPAR(Time Encoded Signal Processing and Recognition)and GMM(Gauss Mixture Model). TESPAR is used to extracted features which constitute A-matrix. GMM is utilized to...

This study aims to increase machine reliability thereby preventing product defects from adhesive dispense and slider attachment by a fault detection diagnostic technique. The experiment was set up investigate the vibration signal motor current. Six conditions of linear bearing were up. approaches, including spectrum analysis, crest factor, analysis variance, are used for data analysis. It found...