High Frequency Acceleration Envelope Power Spectrum for Fault Diagnosis on Journal Bearing using DEWESOFT

T Narendiranath Babu,T Lakshmanan,T Manvel Raj

doi:10.19026/rjaset.8.1088

T Narendiranath Babu, T Lakshmanan + Show 1 more

Open Access

https://doi.org/10.19026/rjaset.8.1088

Copy DOI

Abstract

The aim of study is to apply the condition monitoring technique in the journal bearing to detect the faults at an early stage and to prevent the occurrence of catastrophic failures. This study presents fault diagnosis on journal bearing through the experimental investigation at high rotational speed. Journal bearings are widely used to support the shaft of industrial machinery with heavy loads, such as compressors, turbines and centrifugal pumps. The major problem in journal bearing is catastrophic failure due to corrosion and erosion, results in economic loss and creates high safety risks. So, it is necessary to provide condition monitoring technique to detect and diagnose failures, to achieve cost benefits to industry. High frequency acceleration enveloping facilitates the extraction of low amplitude, high frequency signals associated with repetitive impacts in journal bearings, providing a key tool for early detection in the onset of bearing damage and similar machinery health problems when coupled with standard FFT analysis. The DEWESOFT software-based methods for implementing and interpreting high frequency acceleration enveloping are presented and compared. In this study the application of STFT (Short Time Fourier Transform) and Autocorrelation through FFT are used for processing vibration signal to detect faults in journal bearing is presented. A bearing testing apparatus is used for experimental studies to obtain vibration signal from a healthy bearing and fault bearing.

Highlights

Vibration monitoring is a procedure for detecting the presence of vibrations and identifying their characteristics in mechanical machinery provided by Rajendran (2009)
The vibration data is collected from the journal bearing through the accelerometer sensor 621B40 and the vibration signals are processed with DWESOFT software
This is further processed using various signal processing techniques based on STFT and principle of Autocorrelation enveloped Power Spectrum Density (PSD) is presented

Summary

Introduction

Vibration monitoring is a procedure for detecting the presence of vibrations and identifying their characteristics in mechanical machinery provided by Rajendran (2009). This study is concerned with the vibration monitoring of high speed rotating machines such as shafts and (hydrodynamic) journal bearings. Bearings are essential components in machines that operate at high speed. They have high load carrying capacity and are low in cost and they are designed to allow relative positioning and rotational freedom while transferring the speed provided by Ugural (2003). Bannister and Findlay (1999) suggested that the vibration monitoring is considered to be the suitable tool, for low-speed rotating machinery because of the typically low energy loss rates and difficulty in measuring their fundamental frequency of operation. It is often in combination with other non-intrusive condition monitoring techniques such as acoustic emission. Bannister and Findlay (1999) suggested that the vibration monitoring is considered to be the suitable tool, for low-speed rotating machinery because of the typically low energy loss rates and difficulty in measuring their fundamental frequency of operation. Kuboyama (1997) investigated the low speed journal

Objectives

Methods

Results

Conclusion