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The Importance of Oil Online Monitoring Technology in Equipment Condition Monitoring (Part 1)

Click: Time:2021-12-17 00:00:00

Common Oil Quality Management Measures

At present, there are two main methods for analyzing oil characteristics: one is the offline physical and chemical index analysis method, which regularly samples the in use oil of mechanical equipment and analyzes the samples with the help of precision testing instruments and professional technology in the laboratory, in order to provide corresponding maintenance suggestions; Another type is online monitoring, which installs online oil sensors in the oil circuit of important systems or equipment to achieve real-time monitoring of important systems or equipment, in order to detect abnormal situations and issue timely alarms.

Type

Method

Advantage

劣势


Visual inspection

Directly inspect color, emulsification level, and visible particulate matter with the eyes

                      Low cost, intuitive

Inaccurate, sample collection required, unable to quantify results


Regular oil sample testing

Send the oil sample to the laboratory for detailed data testing

                    High detection accuracy

Inaccurate, sample collection required, unable to quantify results


Online real-time monitoring

Monitor using oil detection equipment installed on the system

Real time monitoring, over limit warning, visible trend changes

Regular projects are fine, there are not many laboratory testing projects

Common oil inspection methods


The Importance of Oil Online Monitoring Technology in Equipment Condition Monitoring

The online monitoring technology for oil is to continuously or intermittently detect the physical and chemical parameters, wear particles, etc. of the oil by installing various sensors on the equipment. Generally, trend analysis is used to determine the usage status of the oil and equipment. It has the characteristics of real-time, continuity, synchronicity, fast analysis, high degree of automation and informatization.


The analysis of lubricants, fuels, and other critical fluids provides early warning information for equipment failures. By analyzing data and predicting trends, early warning of faults can be achieved, allowing maintenance to be scheduled before serious equipment failures occur. This can ensure higher practicality and productivity of the equipment, reduce maintenance costs, lower overall ownership costs, minimize downtime, optimize equipment performance, and operate more reasonably.

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