Bearing Health Condition Monitoring: Frequency Domain Analysis

Condition monitoring is used to frequently monitor the parts of an engine. Since the failures are predicted in advance, the lifetime of the machine is increased, thereby minimizing the maintenance costs. Among the many techniques used for condition monitoring such as static, dynamics, thermal and Tribology, vibration analysis comes under the dynamic techniques. In this paper, the frequency domain analysis, which is one of the commonly used techniques in vibration analysis, is used for diagnosis of bearing faults. The methods used for frequency domain analysis in this paper are Discrete Fourier Transform (DFT), Envelope Analysis and Resampling. It has been found out that, envelope analysis gives better results than the remaining methods

Bearing Health Condition Monitoring: Time Domain Analysis

Condition Monitoring is one of the most important techniques for maintenance of a machine. This is done in order to increase the safety and reliability of the machine. There are several types of condition monitoring for aircraft engine bearing health monitoring such as, Oil Debris Monitoring, Temperature Monitoring, and Vibration Monitoring. Among these, vibration monitoring is found to be the most widely used technique. The current work focuses on the Time Domain Analysis in Vibration Monitoring of a rolling element bearing. This type of analysis depends on several statistical features which are used to identify the defects in the bearing. The extraction of these features is done by a method called feature extraction. It involves calculating features using the raw vibration data and also finding the features using time derivative and time integral of the vibration data. In addition to that, a Graphical User Interface (GUI) has been designed which enables the user to give input data and obtain the fault analysis and plots of time domain analysi