Operational Modal Analysis on Structures with Rotating Parts
Publish place: 6th International Conference on Internal Combustion Engines
Publish Year: 1388
Type: Conference paper
Language: English
View: 2,115
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
ICICE06_080
Index date: 30 September 2009
Operational Modal Analysis on Structures with Rotating Parts abstract
Operational Modal Analysis was originally invented for vibration analysis on civil engineering structures exposed to ambient excitation being purely stochastic and broadband in nature. When performing Operational Modal Analysis on civil or mechanical engineering structures with dominating rotating parts, the original algorithms are often inadequate in providing accurate results due to deterministic excitation.This paper describes recently developed algorithms allowing Operational Modal Analysis to be performed on structures, where a significant part of the vibration is originating from the rotating parts. This includes Fast Kurtosis Checking, Enhanced Kurtosis Checking and the Curve-fitting Frequency Domain Decomposition technique. In addition, practical measurement considerations concerning dynamic range and time recording length are discussed. The applicability of the algorithms is assessed for cases within civil and mechanical engineering.
Operational Modal Analysis on Structures with Rotating Parts Keywords:
Operational Modal Analysis , Rotating Machinery , Algorithms , Kurtosis Checking , Curve-fitting Frequency Domain Decomposition
Operational Modal Analysis on Structures with Rotating Parts authors
N-J Jacobsen
Brüel & Kjær Sound & Vibration Measurement A/S Skodsborgvej ۳۰۷, DK-۲۸۵۰ Nærum, Denmark
P Andersen
Structural Vibration Solutions A/S NOVI Science Park, Niels Jerners Vej ۱۰, DK-۹۲۲۰ Aalborg East, Denmark
J Courrech
Brüel & Kjær Sound & Vibration Measurement A/S Skodsborgvej ۳۰۷, DK-۲۸۵۰ Nærum, Denmark
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :