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In 2001 the quality management system of SPC Dynamics was put through facultative certification. In 2016 it was recertified for compliance with standards ISO 9001:2008. Its results confirmed a high level of goods and services quality management. In 2001 the quality management system of SPC Dynamics was put through facultative certification. In 2016 it was recertified for compliance with standard GOST ISO 9001-2011. Its results confirmed a high level of goods and services quality management.
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Home Publications Articles The Research of Wheel-Motor Unit Condition Diagnostics Fault

The Research of Wheel-Motor Unit Condition Diagnostics Fault

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The condition of bearing assemblies included into wheel-motor unit (traction electric motor and gear, axle bearings) impacts directly on its resource.

The major technique for specified assemblies’ condition is carried out using vibroacoustic diagnostics. This technique allows measuring vibrations on the specified rotating frequency of the shaft, comparing obtained diagnostic signs readings to corresponding critical values. Basing on the obtained results the diagnosis is to be made considering defect appearance.

The disadvantage of the technique is non-stationary appearance of incipient defect in vibration signals on low rotating frequencies (180-210 r/min).

In order to assess appropriately the bearings’ condition it is required taking into account the impact of rotating frequency and type of defect appearance on different speed.

The mathematical model was developed and approved by test data. The model connects the level of rotation bearing vibration signal with linear dimensions of the defect and bearing rotating frequency. This illustrates that the vibration amplitude is proportional to rotating frequency and defect dimension.

 

Kostyukov V.N., Zaitcev A.V., Teterin A.O. The Research of Wheel-Motor Unit Condition Diagnostics Fault // Devices and techniques for measuring, quality control and diagnostics in industry and transport: refer to. 2nd All-Russian scientific and technology conference with international participation. - Omsk: OSTU, 2013. - P. 132-136

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Tags: condition monitoring diagnostics wheel motor unit vibration analysis vibration vibration signal rolling bearings machinery Date: 26.08.2016
Views: 571
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