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Device For Electric Drives Torque Diagnostics And Its Characteristics Study

EasyChair Preprint no. 2721

6 pagesDate: February 20, 2020


The electric drives main parameters post-repair adjustment, in particular, torque ratings setting represents an important problem at power equipment. The electric drive inaccurate settings can cause damage to the valve stem or valve plate. The article is purposed to develop a torque diagnostic device (TDD) designed to determine and clarify the settings of power valves’ A and B type electric drives limit coupling. Such device development allows a quick, in-situ, configuration of electric drive limit coupling basic settings according to the passport data, thus reducing the scheduled repair work time.

The torque is transmitted directly from the electric drive to the torque sensor. The sensor signal enters the secondary reader and is displayed on the LCD screen. When repair works, these settings are often lost, therefore they must be restored. In the absence of special devices in the NPP repair shops, used are the torque control wrenches.

The designed TDD tests demonstrated that when torque readings directly transmitted from an operative electric drive, such torque values are overestimated in contrast to manual tightening with a torque wrench.


That is due to the limit coupling extra-tightening by an electric motor’s inertial rotation. It can be assumed that on more powerful electric drives, such valve “after-twisting” can be significantly larger and can lead to the valve damage that should be considered when using torque wrenches at limit coupling manually setting.

Keyphrases: electric drive, Limit Coupling, Power Fittings, study, torque

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Aleksandr Koroliov and Igor Kozlov and Pavlo Pavlyshyn and Raul Turmanidze and Yuriy Yeputatov},
  title = {Device For Electric Drives Torque Diagnostics And Its Characteristics Study},
  howpublished = {EasyChair Preprint no. 2721},

  year = {EasyChair, 2020}}
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