CONDITION MONITORING THROUGH VIBRATION MEASUREMENT

CONDITION MONITORING THROUGH VIBRATION MEASUREMENT

INTRODUCTION

In industry, maintenance cost of equipment accounts for a considerable percentage of production cost. Maintenance affects the target, quality and profitability of the plant. Implementation of modern concept of Condition Based Maintenance can appreciably reduce maintenance costs and enhance reliability of machine performance and quality of the output.

In many modern industries worldwide, failures of critical equipment have frequently led to loss of production, high maintenance and operation costs. As the capital cost of modern machines is very high, the requirement of continuous and prolonged operation becomes inevitable, to sustain economic operation. There has been a trend towards adoption of various forms of Condition Based Maintenance Systems which contribute to better health of machines, reduced maintenance costs, efficient use of personnel and improved system efficiencies.

Predictive maintenance techniques have proven to be effective strategies to reduce unexpected machinery failure. Vibration monitoring is by far the most widely used predictive maintenance technology due to the significant amount of machinery condition information provided.

Over the last 30 years vibration monitoring has gained industry acceptance as a reliable method of measuring the mechanical condition of rotating machinery. The reason simply is that all machines vibrate; even machinery that is in good operating condition vibrates to some degree. By determining what is normal vibration for a particular machine against what is not normal, the mechanical deterioration of any machine can be monitored.

Vibration Analysis suits ideally the requirement of Condition Monitoring, in spite of relatively higher initial costs in terms of instruments. It is easy to record and transfer data, ensure accuracy of data for trend analysis and fault diagnosis. Further, its versatility and portability permit effective planning and implementation of monitoring schedules.

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