Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods

Abstract

The monitoring of rolling element bearings through vibration-based condition indicators plays a crucial role in the modern machinery. The kurtosis is a very efficient indicator being sensitive to impulsive components within the vibration signature that often are symptomatic of localized faults. In order to improve the diagnostic performance of the kurtosis, blind deconvolution algorithms can be exploited in order to detect bearing faults and, most importantly, their position. In this scenario, this paper focuses on the development of a novel condition indicator specifically designed for the damage assessment in rolling element bearings. The proposed indicator allows to track the bearing degradation process taking into account three different possible positions: outer race, inner race, and rolling element. This indicator fits real-time monitoring procedures allowing for the automatic detection and identification of the bearing fault. The validation of the proposed indicator has been carried out by means of both simulated signal and a run-to-failure experiment. The results highlight that the proposed indicator is able to detect more efficiently the fault occurrence and, most importantly, quicker than other established techniques.

Feature Clustering Analysis Using Reference Model towards Rolling Bearing Performance Degradation Assessment

“…Condition-based maintenance (CBM) has been widely accepted as an essential maintenance program in the modern industry. Based on the information acquired through condition monitoring, health monitoring and management are vital in ensuring safety, minimizing breakdowns, and reducing the production costs [1][2][3]. As an easily damageable but widely used part in rotating machinery, the bearing health condition needs to be timely and reliably identified [4][5][6][7][8][9][10], where the failure and loss can be effectively warned and prevented at an early level.…”