A MODEL-BASED PREDICTION OF BALANCING BEHAVIOR OF ROTORS ABOVE THE SPEED RANGE IN AVAILABLE BALANCING SYSTEMS

被引:0
|
作者
Pennacchi, Paolo [1 ]
Ferraro, Riccardo [2 ]
Chatterton, Steven [1 ]
Checcacci, Damaso [2 ]
机构
[1] Politecn Milan, Dept Mech Engn, Via G La Masa 1, I-20156 Milan, Italy
[2] Baker Hughes, Steam Turbines Operabil Rotordynam & Struct Turbo, Via Felice Matteucci 2, I-50127 Florence, Italy
关键词
Rotor balancing; unbalance; inverse problems; rotor modeling; rotordynamics; LARGE ROTATING MACHINERY; FAULT IDENTIFICATION; MODAL REPRESENTATION; SUPPORTING STRUCTURE; VIBRATION;
D O I
暂无
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Rotor balancing is probably the most discussed topic in the entire literature about rotor dynamics. It would therefore seem that, from the point of view of theory, this is a problem of little interest, however, balancing is very relevant in the industrial practice and sometimes there are very particular cases that cannot be addressed and solved by traditional methods. Moreover, many papers deal with only simulated results or with small-scale tests-rigs, which can hardly reproduce the behavior of real rotors. The case described in this paper is just one of these and presents what could be defined as "predicting the effect of balancing" at rotational speeds that are higher than those possible on balancing machines. Rotordynamics modeling, identification techniques developed by the authors and the available vibration measurements allow the simulation of the behavior, i.e. the vibrations, of the considered turbine rotor on the balancing machine,even at rotational speeds higher than those are possible to be reached, but that correspond to the trip speed in the plant.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Model-based method for testing, adjusting and balancing of HVAC duct system
    Chen, Haoran
    Cai, Wenjian
    Chen, Can
    ENERGY AND BUILDINGS, 2016, 126 : 498 - 507
  • [22] Model-based uncertainty in species range prediction
    Pearson, Richard G.
    Thuiller, Wilfried
    Araujo, Miguel B.
    Martinez-Meyer, Enrique
    Brotons, Lluis
    McClean, Colin
    Miles, Lera
    Segurado, Pedro
    Dawson, Terence P.
    Lees, David C.
    JOURNAL OF BIOGEOGRAPHY, 2006, 33 (10) : 1704 - 1711
  • [23] A grey prediction based load balancing mechanism for distributed computing systems
    Lee, Liang-Teh
    Chang, Hung-Yuan
    Chang, Gei-Ming
    Chen, Hsing-Lu
    2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3, 2006, : 1045 - +
  • [24] Balancing filters: An approach to improve model-based fault diagnosis based on parity equations
    Beckerle, Philipp
    Schaede, Hendrik
    Butzek, Norman
    Rinderknecht, Stephan
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 29 : 137 - 147
  • [25] Alternative Approaches to Design Balancing Filters for the Improvement of Model-Based Fault Diagnosis
    Beckerle, P.
    Schaede, H.
    Rinderknecht, S.
    8TH IFTOMM INTERNATIONAL CONFERENCE ON ROTOR DYNAMICS (IFTOMM ROTORDYNAMICS 2010), 2010, : 49 - 56
  • [26] Model-Based Bidding Strategies for Simultaneous Optimal Participation in Different Balancing Markets
    Schaefer, Pascal
    Hansmann, Nils
    Ilieva, Svetlina
    Mitsos, Alexander
    29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT B, 2019, 46 : 1639 - 1644
  • [27] A Model-Based Approach for Identifying Signatures of Ancient Balancing Selection in Genetic Data
    DeGiorgio, Michael
    Lohmueller, Kirk E.
    Nielsen, Rasmus
    PLOS GENETICS, 2014, 10 (08):
  • [28] Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart Grid
    Knirsch, Fabian
    Engel, Dominik
    Frincu, Marc
    Prasanna, Viktor
    2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [29] Model-based Assessment for Balancing Privacy Requirements and Operational Capabilities in the Smart Grid
    Knirsch, Fabian
    Engel, Dominik
    Frincu, Marc
    Prasanna, Viktor
    2015 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2015,
  • [30] A model based balancing system for battery energy storage systems
    Xu, Jun
    Mei, Xuesong
    Wang, Haitao
    Shi, Hu
    Sun, Zheng
    Zou, Zhongyue
    Journal of Energy Storage, 2022, 49