Assessment of sealing systems impact on the vibration and environmental safety of rotary machines

Energy saving control algorithms of centrifugal fans/pumps are based on the use of the frequency-controlled induction motor drives and pressure or flow rate sensors, the costs of which are comparable to the cost of the fans/pumps for low-power applications. The paper develops a new and simple estimation approach of the pressure and flow rate, utilising the measured Root Mean Square (RMS) value of the stator current, estimated motor’s input active power, reference stator voltage frequency and feed-forward backpropagation artificial neural network. The error percentage for both flow rate and pressure in experimental and estimated data is within the range of ±5%, which conforms to the ISO 13348 standard. A test rig for the rapid control prototyping of the fan is designed, and necessary design and test procedures are developed. The estimation approach is verified experimentally and demonstrates better estimation accuracy compared to the existing and possible similar simple approaches. The developed algorithm can be easily embedded into the industrial variable frequency drives without any hardware changes.

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Publication Details

Journal
Journal of Energy Systems
Published
2024-09-15
DOI
https://doi.org/10.30521/jes.1379609
Primary Topic
Technical Engine Diagnostics and Monitoring
Type
article
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article

Assessment of sealing systems impact on the vibration and environmental safety of rotary machines

Zongming Yang, Роман Миколайович Радченко, Mykola Radchenko, Олександр Шевченко et al.
Journal of Energy Systems
Technical Engine Diagnostics and Monitoring
article

Assessment of sealing systems impact on the vibration and environmental safety of rotary machines

Zongming Yang, Роман Миколайович Радченко, Mykola Radchenko, Олександр Шевченко, S.S. Shevchenko
article en

Abstract

Energy saving control algorithms of centrifugal fans/pumps are based on the use of the frequency-controlled induction motor drives and pressure or flow rate sensors, the costs of which are comparable to the cost of the fans/pumps for low-power applications. The paper develops a new and simple estimation approach of the pressure and flow rate, utilising the measured Root Mean Square (RMS) value of the stator current, estimated motor’s input active power, reference stator voltage frequency and feed-forward backpropagation artificial neural network. The error percentage for both flow rate and pressure in experimental and estimated data is within the range of ±5%, which conforms to the ISO 13348 standard. A test rig for the rapid control prototyping of the fan is designed, and necessary design and test procedures are developed. The estimation approach is verified experimentally and demonstrates better estimation accuracy compared to the existing and possible similar simple approaches. The developed algorithm can be easily embedded into the industrial variable frequency drives without any hardware changes.

Journal of Energy SystemsVol. 8(3)
Admiral Makarov National University of Shipbuilding (UA), Sumy State University (UA), Pukhov Institute for Modelling in Energy Engineering (UA), Jiangsu University of Science and Technology (CN)
Openalex Percentile: Top 84%
Technical Engine Diagnostics and Monitoring
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