Condition Monitoring System

Regular condition monitoring and vibration analysis of machinery is key to predictive maintenance. A carefully planned conditioning monitoring system prevent machinery failure and avoid damages to your business operation.

Condition monitoring is the process of monitoring the parameters of condition in machinery, such that a significant change is indicative of a developing failure.

By using the right condition monitoring system and vibration analysis equipment, you can identify any changes in the critical parameters of the machinery, such as:

1. Vibration 2. Temparature 3. Speed

You can better schedule maintenance  or other actions to be taken to avoid the consequences of failure, before the failure occurs.

Condition Monitoring Methods

Shock Pulse Method

The Shock Pulse Method (SPM) is the only successful monitoring technique specialising on rolling element bearings by determining accurate information on:

the mechanical state of the bearing surfaces the lubricating condition thoughout the bearing life-time

Vibration Severity Measurement

Vibration severity measurement (VIB), based on an international standard, is a practical method to check general machine condition and detect out-of-balance, misalignment, and loose parts or mountings.

Evaluated Vibration Analysis Method

The Evaluated Vibration Analysis Method (EVAM) is a vibration analysis method that is used for analysing all measurement data in a very sophisticated manner. The result will be in-depth automatic data evaluation for exceptionally fast and simple troubleshooting.

 Condition Monitoring Equipment

Portable Instrument Machine Condition Tester T30-1 (Basic, no software) T30-2 (Logger, with software) T30-3 (Expert software with analysis function) unit for bearing condition is dBm/dBc

Customers: TPC, PCS (Jurong Island), Soxal, ISK, Sembawang shipyard, NOL, Prisco etc

Machine Condition Analyzer A30-1, A30-2 and A30-3 function same as T30s. With slight difference when come to measure bearing condition, the unit is LR/HR

VIB10B only measure overall vibration base on ISO 10816 frequency range of 3 to 1000 Hz (NYK Ship management)

Bearing Checker - measure only bearing condition, in dBm/dBc Leonova Infinity - High-end machine condition monitoring system

Module type: MG4 system 2 ch vibration and 2 channel bearing monitoring 2 ch Bearing with 1 channel vibration 1 ch vibration only 2 ch Vibration only

On-line system with more than 2 chs monitoring BMS system, 16 chs bearing monitoring (no analysis function) VMS system, 8 chs vibration monitoring (No analysis function)

On-line system with analysis function VCM system 8 and 24 chs (for vibration analysis, FFT) BMU 7 chs (for bearing analysis

What are the Benefits of Condition Monitoring?

Faults develop within machinery regardless of even the most thorough and comprehensive scheduled maintenance with often-undetected faults leading to unexpected failures before your next scheduled maintenance break.

Condition monitoring puts you in control allowing you to be pro-active in preventing breakdowns, helping you avoid unplanned shut downs and allows you to optimize maintenance resources where and when they’re needed. Condition monitoring measures the health of a machine by routine monitoring and analysis of data.

Efficient and non-disruptive to production and has the proven potential to save thousands of pounds in secondary damage, lost production and unnecessary maintenance. Condition Monitoring is a proven, preventative maintenance strategy that provides early indication of preventative faults.

What are the parameters used in Vibration Sensors?

Critical to condition monitoring and vibration analysis is the machine mounted sensor.

Three parameters representing motion detected by vibration monitors are displacement, velocity, and acceleration. These parameters are mathematically related and can be derived from a variety of motion sensors.

Selection of a sensor proportional to displacement, velocity or acceleration depends on the frequencies of interest and the signal levels involved. Sensor selection and installation is often the determining factor in accurate diagnoses of machinery condition.