Wagner-Meinert, Inc. : Preventative Maintenance : Industrial Ammonia Refrigeration

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Wagner-Meinert, Inc. - "Our reputation is our future."

Preventative Maintenance

Wagner-Meinert provides complete preventative maintenance programs to our customers’ industrial and commercial refrigeration systems as well as mechanical/HVAC systems. Our preventative maintenance programs are designed to give our customers peace of mind in knowing their equipment is performing at peak efficiency while costly breakdowns, and downtime, are reduced. These preventative maintenance programs are designed to increase the life expectancy of the equipment and enable our customers to foresee and predict any equipment failure.

We can provide preventative maintenance on many types of equipment such as ammonia compressors, condensers, evaporators and make-up air units. Also, our service technicians are trained to provide preventative maintenance services on HVAC systems, boilers, electronic controls, heat recovery and mechanical systems. For more detailed information about our preventative maintenance programs and pricing, contact Doug Zollinger at zollinger@wagner-meinert.com or call 260-489-7555.

Vibration Analysis

By using advanced computerized diagnostic techniques, Wagner-Meinert Engineers and Technicians can perform Vibration Analysis on equipment to determine bearing wear levels of many types of machinery. By performing Vibration Analysis, we can determine approximate equipment failure times to reduce or eliminate emergency breakdowns. There are four phases of bearing wear to any machinery.

STAGE 1:
Earliest indications of bearing problems appear in ultrasonic frequencies ranging from 250,000 to 350,000 Hz. As wear increases, frequencies drop to 20,000 to 60,000 Hz.

STAGE 2:
Slight bearing defects begin to “ring” bearing component natural frequencies which predominately occur in the 30K to 120K CPM range. Such natural frequencies may also be resonances of bearing support structures.

STAGE 3:
Bearing defect frequencies and harmonics appear. When wear progresses, more defect frequency harmonics appear and the number of sidebands grow, both around these and other bearing component natural frequencies.

STAGE 4:
Towards the end, amplitude grows and normally causes growth of many running speed harmonics. Discrete bearing defect and component natural frequencies actually begin to “disappear” and are replaced by high frequency “noise floor”.

Example of Vibration Analysis Performed on a Compressor

By measuring frequency and amplitude levels in cycles per minute (CPM), wear levels can be determined by graphic analysis. This type of graphic analysis provides accurate probabilities of potential equipment failures. This information is crucial in planning equipment down time for maintenance or rebuild and avoiding failures during production.

	STAGE 1: Earliest indications of bearing problems appear in ultrasonic frequencies ranging from 250,000 to 350,000 Hz. As wear increases, frequencies drop to 20,000 to 60,000 Hz.

	STAGE 2: Slight bearing defects begin to “ring” bearing component natural frequencies which predominately occur in the 30K to 120K CPM range. Such natural frequencies may also be resonances of bearing support structures.

	STAGE 3: Bearing defect frequencies and harmonics appear. When wear progresses, more defect frequency harmonics appear and the number of sidebands grow, both around these and other bearing component natural frequencies.

	STAGE 4: Towards the end, amplitude grows and normally causes growth of many running speed harmonics. Discrete bearing defect and component natural frequencies actually begin to “disappear” and are replaced by high frequency “noise floor”.

Example of Vibration Analysis Performed on a Compressor





By measuring frequency and amplitude levels in cycles per minute (CPM), wear levels can be determined by graphic analysis. This type of graphic analysis provides accurate probabilities of potential equipment failures. This information is crucial in planning equipment down time for maintenance or rebuild and avoiding failures during production.