A hybrid diagnostic system of main drive of industrial press line
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
Diagnostyka 2021;22(1):85–92
KEYWORDS
TOPICS
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.
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....
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....
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/....
Share
RELATED ARTICLE
„Podniesienie poziomu naukowego i poziomu umiędzynarodowienia czasopisma Diagnostyka oraz upowszechniania informacji o wynikach badań lub prac rozwojowych poprzez udział uznanych zagranicznych recenzentów w ocenie publikacji - zadanie finansowane w ramach umowy 745/P-DUN/2017. ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę”
© 2006-2023 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.