Dynamic Characteristics of Flow Induced Vibration in a Rotor-Seal System

Zhang, Nan; Liu, Ying; Chu, Fu Lei

doi:10.1155/2011/364805

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…The results from the few references for research of the nature of MF vibrations [16,17] and also of similar systems [20], our observations included and show that there are enough reasons to treat these vibrations as nonlinear.…”

Section: Mill Fan Vibrations Modelsupporting

confidence: 55%

Intelligent diagnostic on mill fan system

Hadjiski

Doukovska

Koprinkova–Hristova

2012

2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS

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The mill fans (MF) are centrifugal fans of the simplest type with flat radial blades adapted for simultaneous operation both like fans and also like mills. The key variable that could be used for diagnostic purposes is vibration amplitude of MF corpse. However its mode values include a great deal of randomness. Therefore the application of deterministic dependencies with correcting coefficients is non-effective for MF predictive modeling. Standard statistical and probabilistic (Bayesian) approaches are also inapplicable to estimate MF vibration state due to non-stationarity, non-ergodicity and the significant noise level of the monitored vibrations. Adequate for the case methods of computational intelligence (fuzzy logic, neural networks and more general AI techniques -the precedents' method or machine learning (ML)) must be used. The present paper describes promising initial results on applying the Case Based Reasoning (CBR) approach for intelligent diagnostic of the mill fan working capacity using its vibration state.

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Section: Mill Fan Vibrations Modelsupporting

confidence: 55%

Intelligent diagnostic on mill fan system

Hadjiski

Doukovska

Koprinkova–Hristova

2012

2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS

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“…• Lubrication problems. The results from the few references for research of the nature of vibrations in the mill fan [22], [23], and also of similar systems [24], [25], our observations included, and show that there are enough reasons to treat these vibrations as nonlinear.…”

Section: Resultsmentioning

confidence: 56%

Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

Hadjiski¹,

Doukovska²,

Kojnov³

2012

International Journal of Electronics and Telecommunications

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Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.

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“…In the paper, using the mathematical model in the reference [6], the pulsating flow induced vibration will be investigated on a single disk rotor-seal system. The model is shown in Fig.…”

Section: Mathematical Modelmentioning

confidence: 99%

Pulsating Flow Induced Vibration in the Seal System

Zhang

2014

AMM

Self Cite

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The oscillating flow is an important factor affecting the performance of the rotor–seal system. From the point of view of flow induced vibration, the nonlinear models of the rotor-seal system are presented for the analysis of the self-excited vibration, which is induced by interaction between the unstable seal fluid flow and the vibrating rotor. The nonlinear characteristics of flow induced vibration in the rotor-seal system are analyzed, and the nonlinear phenomena in the unbalanced rotor-seal system are investigated using the nonlinear model with the flow induced vibration.

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Dynamic Characteristics of Flow Induced Vibration in a Rotor-Seal System

Cited by 6 publications

References 9 publications

Intelligent diagnostic on mill fan system

Intelligent diagnostic on mill fan system

Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

Pulsating Flow Induced Vibration in the Seal System

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