Condition Monitoring

eye
Condition Monitoring

How The Eyes (and IR camera) Can Be Misled

The IR camera is a great tool used in our everyday predictive maintenance endeavors, but it can play tricks on our eyes if we do not investigate beyond what we are observing. Things truly are not always as they seem, here’s an example:

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Condition Monitoring

How to Use Condition Monitoring to Optimize Grease Lubrication

There are four primary components to precision grease lubrication for bearings: lubricant selection, application method, the volume of lubricant to be delivered, and the frequency with which it is applied. There are, of course, many different methods for specifying these values, and opinions can vary significantly as to which approach is best. Due to the variability of operating conditions and machine design, it can be very difficult to be truly precise without introducing the “condition-based” component to the formula.

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Condition Monitoring

Implementing an IR Thermography Maintenance Program

If thermography is new in your plant, the first few inspection cycles may yield a large number of finds. Subsequent inspections should go more smoothly. After about three cycles, reorganize the routes so they are more efficient, and add new routes and equipment into the inspection cycle as necessary. The optimum frequency of inspection will be determined by the needs of the equipment assets. As they age, are heavily loaded or are poorly maintained, inspections may become more frequent.

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infrared thermography
Condition Monitoring

Infrared Thermography

For a program to be effective it must be accepted by management as well as other maintenance personnel. Getting other maintenance people involved in Infrared Thermography is a good way of gaining acceptance not to mention the fact that, more people scanning equipment will find more problems, more quickly, resulting in payback more quickly for the plant. This paper discusses the approach which I am implementing with varying degrees of success at my client’s plant sites and which could be implemented in plants with existing IR imagers.

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Condition Monitoring

Infrared Thermography and Distribution System Maintenance

Infrared thermography is the science of seeing heat. Thermal imagers
have the ability to produce a visual representation of thermal patterns as heating systems’ components are identified and recorded. Maintenance strategies are then planned and carried out before system breakdowns occur.

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Condition Monitoring

In-Process Motor Testing Results Using Model Based Fault Detection Approach

Rapid progress in process automation and tightening quality standards result in a growing demand being placed on fault detection and diagnostics (FDD) methods to provide both speed and reliability of motor quality testing. This paper presents the findings of a decade long research and development efforts in the field of experimental modeling technique and its practical applications for the fault detection purposes, first in the fields of aerospace and defense, and now in the context of highvolume electric motor manufacturing. Underlying this patented technology is a set of proprietary algorithms that enable precise tracking of the parameters pertaining to the physical structure of the motor.

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Condition Monitoring

Inspecting Seals with IR Thermography

In today’s industry, practices that were once acceptable are no longer even tolerated. Environmental concerns and EPA mandates are applying more and more pressure on businesses like the chemical industry to improve the manufacturing processes being used, to the point that not only is a slight drip from a pump seal not acceptable, but in 2004 the MACT will be enacted and only 500 – 1,000 parts per million vapor will be allowed and, eventually, no vapor at all.

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Condition Monitoring

Integrating Vibration and Wear Debris Analysis for Machine Condition Monitoring

Vibration and wear debris analyses are two key components of any successful condition-monitoring program and can be used as both predictive and proactive tools to identify active machine wear and diagnose faults occurring inside machinery. Integrating these two techniques in a machine condition-monitoring program provides greater and more reliable information, bringing significant cost benefits to industry.

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