Abstract—In this study the regional stability of a rotor system which is supported on rolling bearings with radial clearance is studied. The rotor is assumed to be rigid. Due to radial clearance of bearings and dynamic configuration of system, each rolling elements of bearings has the possibility to be in contact with both of the races (under compression) or lose its contact. As a result, this ...

Diagnostics of rolling elements under varying operational conditions, where disturbances and other rotating elements have strong influence on correctness of analysis, requires engagement of advanced signal processing techniques. Extraction of signal components generated by bearing faults has been proven to be an exceptionally promising method for rolling element bearing fault detection. In this...

The effect of the rotational speed and axial torque on the diagnostics of tapered rolling element bearing defects was investigated. The accelerometer was mounted on the bearing housing and connected to Sound and Vibration Analyzer (SVAN 958) and was used to measure the accelerations from the bearing housing. The data obtained from the bearing was processed to detect damage of the bearing using ...

The generation of synthetic vibration signals enables the testing novel machine diagnostic methods without costly introduction real failures. One major goals vibration-based condition monitoring is early detection bearing faults. This paper presents a modeling technique based on combination known mechanical properties modeled object (phenomenological part) and observation (behavioral part). mod...

EEMD Algorithm is usually applied in noise reduction of rolling bearing signal because of its powerful ability in de-noising. But misjudgment in selecting sensitive IMF exists, it results in the incomplete processing of noise reduction. In order to solve this problem, this paper proposes an improved EEMD algorithm. This algorithm adopts Cloud Similarity Measurement in selecting the sensitive in...

Based on rolling bearing fault signal modulation model in the process of spreading, an improved method that combining Hilbert envelop extraction algorithm and large parameter setting rules in stochastic resonance (SR) is proposed for features extraction. Firstly, Hilbert transform can effectively eliminate the interference of high frequency carrier signal. Secondly, parameters setting rules in ...

Seventy to eighty five percent of failures and wear problems in lubricated machines are caused by oil contamination. Contaminants shorten the life of all machines, especially those with fine finishes and clearances operating at high speeds and temperatures. Examples are rolling and sliding bearings, gears, vane and piston hydraulic pumps, Maintaining clean oil provides the benefits listed in Ta...