A hybrid diagnostic system of main drive of industrial press line
 
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1
Opel Manufacturing Poland Sp. z o.o.
 
2
Silesian University of Technology
 
 
Submission date: 2020-10-04
 
 
Final revision date: 2021-01-04
 
 
Acceptance date: 2021-02-10
 
 
Online publication date: 2021-02-11
 
 
Publication date: 2021-02-11
 
 
Corresponding author
Krzysztof Roczek   

Opel Manufacturing Poland Sp. z o.o.
 
 
Diagnostyka 2021;22(1):85-92
 
KEYWORDS
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ABSTRACT
Idea of Industry 4.0 indicate Condition Based Maintenance (CBM) and Predictive Maintenance (PdM) as fundamental maintenance strategies in modern factories. CBM and PdM could be implemented with use of on-line continuous monitoring and diagnostic systems as well as program of systematic examinations of asset condition done by maintenance personnel. Using data collected from hand held instruments and from on-line systems is possible to build full image of current asset condition and predict probably faults in the future. This paper presents system of condition monitoring and diagnosing of main drive of industrial press line. The system use diagnostic data coming from different sources like vibration, electrical and thermal measurements. Application of different types of data makes the system hybrid and allows improve diagnostic inference process. The article describes the way of system design and its implementation.
FUNDING
Described herein are selected results of study, supported partly from scientific funds, as statutory research and research projects 175/RMTO/RR8/2016 entitled „Porozumienie o współpracy” concluded between Silesian University of Technology and Opel Manufacturing Poland.
REFERENCES (22)
1.
Nakagami K, Arima K, Ueda T, Kadou H. On natural vibration and damping effect of tuned sloshing damper. J. Struct. Engng. 1990;36:591– 602.
 
2.
Bedford A, Fowler W. Engineering mechanics. Prentice Hall, New Jersey. 2002.
 
3.
Mitiku Degu1 Y, Srinivasa Moorthy R. Implementation of Machinery Failure Mode and Effect Analysis in Amhara Pipe Factory. American Journal of Engineering Research. 2014;3(1):57-63.
 
4.
Kumar Singh R, Kulkarni MS. Criticality analysis of power-plant equipment using the analytic hierarchy process. International Journal of Industrial Engineering & Technology. 2013; 3(4):1-14.
 
5.
Finley WR, Hodowanec MM, Holter WG. An Analytical Approach to Solving Motor Vibration Problems. IEEE Paper No. PCIC-99-20. https://doi.org/10.1109/PCICON....
 
6.
ISO 20958-2013 Condition monitoring and diagnostics of machine systems - Electrical signature analysis of three-phase induction motors. 2013.
 
7.
Zarei J, Hassani J, Wei Z, Karimi HR. Broken rotor bars detection via Park’s vector approach based on ANFIS. Conference Paper. 2014. https://doi.org/10.1109/ISIE.2....
 
8.
Mendes AMS, Cardoso AJM. Saraiva ES. Voltage source inverter fault diagnosis in variable speed ac drives, by Park’s vector approach. IEEE International Electric Machines and Drives Conference. IEMDC'99. 1999. https://doi.org/10.1109/IEMDC.....
 
9.
Ciszewski T, Swędrowski L, Gelman L. Induction motor bearings diagnostic using MCSA and Normalized Tripple Covariance. IEEE 10th International Symposium on Diagnostics for Electrical Machines. Power Electronics and Drives. 2015. https://doi.org/10.1109/DEMPED....
 
10.
Hyundai WIA Corp.- Tandem stamping line manual. 2020.
 
11.
Siemens AG. Early detection of mechanical damage in press working lines, MP.R1.CC.0000.86.3.04/ Dispo. 46371 BR 0513 3. SB 2 En, 2013. https://cache.industry.siemens....
 
12.
Schuler Pressen GMBH, Smart press shop, the answer to industry 4.0. https://servopresses.schulergr....
 
13.
Parker Hannifin Corporation. Condition Monitoring for Predictive Maintenance. https://promo.parker.com/promo.... 2020.
 
14.
Fisher J. Smart stamp- condition monitoring for presses. Fraunhofer Intitute for Machine Tools and Forming Technology IWU. Department of Automation and Monitoring, Chemnitz, 2020.
 
15.
Fraunhofer Institute for Machine Tool and Forming Technology IWU- Smart Stamp- Condition Monitoring For Presses - Modular condition monitoring system. 2020.
 
16.
Mahayotsanun N, Sah S. Tooling-integrated sensing systems for stamping process monitoring, International Journal of Machine Tools & Manufacture. 2009;49(7–8):634-644. https://doi.org/10.1016/j.ijma....
 
17.
Sondalini M. Win Production Over to Doing Better Maintenance with ABC Equipment Criticality Rating that Uses the Business-Wide Costs of Production Loss, Lifetime Reliability Solutions. 2015.
 
18.
SIPLUS extreme – automation and drive technology for extreme ambient conditions https://new.siemens.com/global....
 
19.
Condition monitoring systems. https://www.ifm.com/de/en/cate....
 
20.
Condition Monitoring of Machines and Systems, https://www.turck.de/en/condit....
 
21.
Rogala T, Roczek K. Induction motor diagnosis with use of electric parameters. Diagnostyka. 2019;20(4): 65-74. https://doi.org/10.29354/diag/....
 
22.
High Speed Tandem Press Line, http://www.jier-na.com/product....
 
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