Vibration analysis is a widely used method for diagnosing bearing faults in machinery. It operates on the principle that a healthy machine exhibits a certain characteristic vibration pattern, and any deviation from this pattern can indicate potential issues, such as bearing faults.

As a result bearing manufacturers have developed vibration tests as an effective method for measuring quality. A common approach is to mount the bearing on a quiet running spindle and measure the radial velocity at a point on the bearing’s outer ring in three frequency bands, 50-300, 300-1800 and 1800-10000Hz.

Rolling bearing technology has developed into a particular branch of science. SKF has been in the forefront right from the start and has been one of the leaders in this field. Among the benefits resulting from this re-search has been the ability to manufacture bearings of the highest quality, and to c alculate the rating life of a bearing with

This paper presents for identify the defected bearing using vibration frequency. There have been a lot of researches on diagnosing rolling element bearing faults using wavelet analysis, but almost … Expand

2015年10月4日 · Vibration analysis gets much advantage in factories as a predictive maintenance technique. In this study, vibration response of the rolling bearings to the defects on outer race,...

2024年3月15日 · Vibration Analysis (VA) is the most commonly used technique in predictive maintenance. It allows the diagnosis of faults, especially those in the early stages. The use of VA is important for maintenance costs and downtime …

2023年7月7日 · Bearing failure is detected without bearing failure frequencies using the natural frequencies of the bearing in the velocity spectrum signal. Moreover, an experimental investigation of the bearing failure of a liquid ring compressor was conducted utilizing a VIBXPERT II vibration analyzer and the Omni trend software.

2024年4月1日 · Diagnosis of the bearing failure by vibration analysis techniques. Root cause analysis based on the vibration and lubrication. Reducing the vibration amplitude by increasing the working speed. Increasing bearing life by installing an air hose. This paper is presented to diagnose and root cause analysis of the bearing failure.

5 天之前 · Rolling bearings being a critical element in rotating machines, their fault diagnosis is vital for the safe and reliable operations of mechanical systems. Deep learning techniques have emerged in vibration signal-based rolling bearing fault classification due to the paradigm shift towards data driven diagnosis with reduced human intervention. However, the noise present in the vibration signals ...

Liu and Yan decomposed the vibration signal of rolling bearing into a set of mode components using VMD and took the AR model parameters, model variance, and singular value of modal matrix of each mode component as the feature vectors. Finally, the Euclidean distance discriminant function was established to identify the fault types of the ...