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Metallurgical Equipment
Название Development of protective shutdown systems, control and functional diagnostics of technological equipment of metallurgical enterprises
Автор E. N. Ishmetyev, A. N. Panov, E. E. Bodrov, S. M. Andreev
Информация об авторе

JSC KonsOM SKS (Magnitogorsk, Russia):

E. N. Ishmetyev, Dr. Eng., Prof., Director on Strategic Development
A. N. Panov, Cand. Eng., Associate Prof., Head of Innovation Development Dept.

 

Nosov Magnitogorsk State Technical University (Magnitogorsk, Russia):
E. E. Bodrov, Cand. Eng., Associate Prof., Dept. of Electronics and Microelectronics
S. M. Andreev, Cand. Eng., Associate Prof., Head of Automatic Control Systems Dept.

E-mail: fortheartist@mail.ru

Реферат

This paper describes and analyses different approaches to the subject of constructing the protective shutdown, monitoring, and functional diagnostic systems for technological equipment in metallurgy. Those systems are based on measuring and analyzing equipment’s acoustic vibration. Stationary protective shutdown, monitoring, and functional diagnostic systems were installed on non-rotating parts of rotary equipment that includes rolling bearings and slide bearings of AC/DC motors, bearing supports, and gearboxes. Those systems were implemented and tested on Iron and Steel Works in Magnitogorsk, Russia, and SSGPO in Rudny, Kazakhstan. Exploitation of those systems for a number of years has shown that they are very effective in defect diagnostics, in development or correction of preventive maintenance schedule, and in accident prevention. This paper also considers various components which forms the protective shutdown, monitoring, and functional diagnostic systems. These components are accelerometers, electronic diagnostic devices that are built around signal processors, vibration sensors, noise meters, smart sensors, and signal lamps. Combining those components in different ways one can built flexible stationary and mobile protective shutdown, monitoring, and functional diagnostic systems. The protective shutdown, and monitoring systems monitor the vibration velocity’s root mean square value and compare it to the threshold value regulated by the State Standard. The functional diagnostic systems analyze vibration acceleration signal in combination with its direct spectrum and envelope spectrum. As a result of this analysis and subsequent comparison of vibration acceleration amplitude on specific frequencies in the spectrums to the empirically obtained threshold values, the functional diagnostic system daily reports found defects, if any, in a form of tables and graphs. This functional diagnostic system allows conducting a search for defects in industrial equipment in metallurgy and other industries either in automatic or in manual mode that should be executed by vibration expert.

Ключевые слова Protective shutdown, control, functional diagnostics, bearing, electric motor, monitoring, accelerometer, smart sensor, signal lamp, noise meter, vibration, spectrum analysis
Библиографический список

1. Lukyanov S. I., Karandaev А. S., Evdokimov S. А. et. al. Development and implementation of intelligent systems for diagnosing the technical condition of electrical equipment. Vestnik Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta imeni G. I. Nosova. 2014. No. 1. pp. 129–136.
2. Byrtus M., Sobra J., Krizek M. et al. Dynamic load of induction machine due to rotor’s eccentricity and bearing clearance. 18th European Conference on Power Electronics and Applications. 2016.
3. Mistry R., Finley B., Kreitzer S., Queen R. Influencing factors on motor vibration & rotor critical speed in design, test and field applications. Petroleum and Chemical Industry Technical Conference. 2014.
4. Orlov А. V. Wear-induced vibration in a radial roller bearing. Problemy mashinostroeniya i nadezhnosti mashin. 2013. No. 4. pp. 63–69.
5. Stepanov P. I., Lagutkin S. V., Nikitin Yu. R. Integrated current and vibration diagnostics of electromechanical systems. Intellektualnye sistemy v proizvodstve. 2013. No. 2 (22). pp. 160–165.
6. Leontyev М. К., Snetkova Е. I., Degtyarev S. А. Dynamics of an unbalanced rotor on a roller bearing. Vestnik Moskovskogo aviatsionnogo instituta. 2013. Vol. 20. No. 1. pp. 95–105.
7. Barkov А. V., Barkova N. А. Vibration diagnostics of machinery and equipment. Vibration analysis: tutorial. Saint Petersburg: SPbGMTU, 2004. 156 p.
8. Adams M. L. Rotating Machinery Vibration: From Analysis to Troubleshooting. 2nd edition. CRC Press. Taylor & Francis Group. 2010. 476 p.
9. Yang Z., Wang S., Hong J., Li J. Analysis of electromagnetic exciting force and vibration of rotating armature permanent magnet synchronous motor. The Journal of Engineering. 2018. Vol. 2018. Iss. 17. pp. 1903–1908.
10. Chen X., Feng Z. Time-Frequency Analysis of Torsional Vibration Signals in Resonance Region for Planetary Gearbox Fault Diagnosis Under Variable Speed Conditions. IEEE Access. 2017. Vol. 5. pp. 21918–21926.
11. Liu Y., Qiao N., Zhao C., Zhuang J. Vibration Signal Prediction of Gearbox in High-Speed Train Based on Monitoring Data. IEEE Access. 2018. Vol. 6. pp. 50709–50719.
12. Abdi S., Llano D., Abdi E., Malliband P., McMahon R. Experimental analysis of noise and vibration for large brushless doubly fed machines. The Journal of Engineering. 2017. Vol. 2017. (13). pp. 724–728.
13. Huo Z., Zhang Y., Francq P. et al. Incipient Fault Diagnosis of Roller Bearing Using Optimized Wavelet Transform Based Multi-Speed Vibration Signatures. IEEE Access. 2017. Vol. 5. pp. 19442–19456.
14. Wang D., Tsui K.-L., Miao Q. Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators. IEEE Access. 2018. Vol. 6. pp. 665–676.
15. Ishmetyev E. N., Logunova O. S., Panov A. N. et al. Stationary automatic vibration control and analysis systems: application experience. Journal of Computational and Engineering Mathematics. 2017. Vol. 4. No. 1. pp. 3–15.
16. Non-Destructive Testing: handbook in 7 volumes. Vol. 7. Book. 2. Edited by V. V. Klyuev. Moscow: Mashinostroenie, 2005. 828 p.
17. Ishmetyev Е. N., Chistyakov D. V., Panov А. N. et. al. Systems of vibration protection, vibration monitoring and vibration diagnostics of industrial equipment. Elektrotekhnicheskie sistemy i kompleksy. 2019. No. 1 (42). pp. 67–73.
18. Kimpl E., Stroi М. New technique of state control, analysis of operating problems and practical recommendations for gear boxes in metallurgical shops. Chernye Metally. 2016. No. 2. pp. 43–47.
19. Zhiltsov А. P., Vishnevsky D. A., Kozachishen V. А., Bocharov А. V. Development of the algorithm and computer program for calculating the equipment reliability and production risk in the metallurgical industry. Chernye Metally. 2018. No. 11. pp. 27–33.
20. GOST ISO 10816-1–97. Mechanical vibration. Evaluation of machine vibration by measurements on non-rotating parts. Part 1. General guidelines. Introduced: 01.07.1997.
21. Operating instructions. 5-segment signal lamp DV15x0, DV25x0 [Electronic resource]. Available at: https://www.ifm.com/mounting/80263024UK.pdf (accessed: 3.10.2019).
22. USB Noise Meter (Pro Edition) — Сondenser microphone for measuring amplitude-frequency response characteristics and noise level [Electronic resource]. Available at: http://spl-lab.ru/ru/products/microphones/usb-noise-meter-pro-edition.html (accessed: 3.10.2019).
23. Panov А. N., Bodrov Е. E., Bodrova S. I. et. al. Possibility of using an intelligent sensor for diagnosing the state of an electric motor. Avtomatizirovannye tekhnologii i proizvodstva. 2018. No. 1 (17). pp. 14–17.

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