nach oben

Erschienen in:

2019 | OriginalPaper | Buchkapitel

Investigation of Units Condition of Rotor-Type Milling Machines Based on Vibration Analysis

verfasst von : V. Yu. Ovsyannikov, A. I. Klychnikov, A. V. Sharov

Erschienen in: Proceedings of the 4th International Conference on Industrial Engineering

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The application of methods and tools, spectral analysis of units, and mechanisms of production equipment in various industries makes it possible to determine their actual condition with sufficient probability which significantly reduces the occurrence of an emergency stop of equipment. Diagnostic information on the crusher support condition was obtained with the help of special equipment and technical devices for vibration recording. The calculation of natural frequencies of the crusher vibrations according to the calculated dependences was preliminary carried out for effective diagnostics. A defect was found as a result of regular monitoring of the rotor-type crusher through a system of predictable maintenance. The monitoring interval was 10 days, and as the defect developed, it was reduced to one day. The study and analysis of vibration spectra made it possible to determine the wear degree of outer and inner rings of the rolling bearings. The results of diagnostics made it possible to ensure the priority preparation of reserve elements of the bearing support, and it was timely replaced.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Models of Fatigue Fracture Under Cyclic Loading Pistons of Internal Combustion Engines

Nächstes Kapitel Mathematical Modeling of Wear of Cutter on Back Edge by Taking into Account Beating and Kinematic Perturbations

Parno R (2013) An investigation of surface vibration, airborne sound and acoustic emission characteristics of a journal bearing for early fault detection and diagnosis. A thesis submitted to The University of Huddersfield

Cameron J, Thomson W, Dow D (1986) Vibration and current monitoring for detecting airgap eccentricity in large induction motors. IEEE Proc. B 133:155–163

Lee Y, Kim Y (2007) Condition monitoring of induction motors for vertical pumps with the current and vibration signature analysis. In: Experimental analysis of nano and engineering materials and structures. Springer, Dordrecht, pp 419–420CrossRef

Swider J, Hetmanczyk M (2011) The computer integrated system of control and diagnosis of distributed drives. Silesian Technical University Publishing, Gliwice

Mirzadzhanzade A, Khasanov M, Bakhtizin R (1999) Modelling of complicated systems of oil extracting etudes. Nonlinearity, nonuniformity, heterogeneity, Gilem., Ufa, pp 464

Elyassami Y, Benjelloun K, El Aroussi M (2016) Bearing fault diagnosis and classification based on KDA and alpha-stable fusion. Contemp Eng Sci 9(10):453–465CrossRef

Dovban’ S, Veselov O (2012) Technical diagnostics of electromechanical systems based on the analysis of distorted output signal. Automation and Remote Control 73(11):1902–1909CrossRef

Li Y, Zhang C (2004) Dynamic prognostic prediction of defect propagation on rolling element bearing. J Vibr Acoust Trans ASME 85(1):214–220

Hiroyoshi IT (1980) Studies on vibration and sound of defective rolling bearing. Bull JSME 25(204):994–1001

10.

Nandi S, Toliyat G (1999) Condition monitoring and fault diagnosis of electrical machines—a review. In: 35th IEEE-IAS annual meeting 1:197–204

11.

Nimityongskul S, Kammer D (2010) Frequency domain model reduction based on principal component analysis. Mech Syst Signal Process 24:41–51CrossRef

12.

Kurfess T, Billington S, Liang S (2006) Advanced diagnostic and prognostic techniques for rolling element bearings. Condition monitoring and control for intelligent manufacturing. Springer series in advanced manufacturing. Springer, London, pp 137–165CrossRef

13.

Sadettin O, Nizami A, Veli C (2006) Vibration monitoring for defect diagnosis of rolling element bearings as a predictive maintenance tool: comprehensive case studies. J NonDestr Test Eng Int 39:293–298

14.

Stepanov P, Nikitin Y (2014) Diagnostics of mechatronic systems on the basis of neural networks with high-performance data collection. Mechatronics 2013: recent technological and scientific advances. Springer International Publishing, Swizerland, pp 433–440CrossRef

15.

Andy C, Tan K, McNickle L, Danieal L (2003) A practical approach to learning vibration condition monitoring. J World Trans Eng Technol Educ 2(2):217–220

16.

Cowan R, Winer W (2013) Handbook of technical diagnostics: fundamentals and application to structures and systems: machinery diagnostics. Springer, Berlin, Heidelberg, pp 387–410

17.

Reilly T (2011) A review of signal processing and analysis tools for comprehensive rotating machinery diagnostics. In: Rotating machinery, structural health monitoring, shock and vibration, vol 5 conference proceedings of the society for experimental mechanics series, pp 463–479CrossRef

18.

Teruo I (1980) Studies on vibration and sound of defective rolling bearings. Bull JSME 25(204):994–1001

19.

Kiral Z, Karagulle H (2003) Simulation and analysis of vibration signals generated by rolling element bearing with defects. Tribol Int 36:667–678CrossRef

Titel: Investigation of Units Condition of Rotor-Type Milling Machines Based on Vibration Analysis
verfasst von: V. Yu. Ovsyannikov
A. I. Klychnikov
A. V. Sharov
Verlag: Springer International Publishing
Buch: Proceedings of the 4th International Conference on Industrial Engineering
Print ISBN: 978-3-319-95629-9

Electronic ISBN: 978-3-319-95630-5

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-319-95630-5_25

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht