1. bookVolume 37 (2016): Issue 1 (July 2016)
Journal Details
License
Format
Journal
eISSN
2083-4608
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
access type Open Access

Data Management Techniques for Blade Vibration Analysis

Published Online: 27 Jul 2016
Volume & Issue: Volume 37 (2016) - Issue 1 (July 2016)
Page range: 95 - 132
Journal Details
License
Format
Journal
eISSN
2083-4608
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
Abstract

Well-designed procedures are required to handle large amounts of data, generated by complex measurement systems used in engine tests. The paper presents selected methodologies and software tools for characterisation and monitoring of blade vibration. Common file formats and data structures as well as methods to process and visualise tip-timing data are discussed. Report Generation Framework (RGF) developed in Python is demonstrated as a flexible tool for processing and publishing blade vibration results.

Keywords

[1] B. Hayes (chair) “ANSI/ISA-107.1-2013 Industry Standard File Format for Revolution-Based, Tip Timing Data”, www.isa.orgSearch in Google Scholar

[2] R. Przysowa Analysis of synchronous blade vibration with the use of linear sine fitting, Journal of KONBiN, 2(30), pp. 5-20, De Gruyter Open (2014).10.2478/jok-2014-0011Search in Google Scholar

[3] R. Przysowa “Inductive Sensors for Blade Tip-Timing in Gas Turbines”, Test Cell and Controls Instrumentation and EHM Technologies for Military Air, Land and Sea Turbine Engines, MP-AVT-229-10, Rzeszów (2015)Search in Google Scholar

[4] R. Przysowa, P. Gazda “Direct sampling and phase detection of inductive sensor signal”, NIDays, Warszawa (2015)Search in Google Scholar

[5] N. Herbring at al. “Chapter 8 – Data Capture, Management and Analysis” in: “Gas Turbine Engine Test Cell Instrumentation”, Final Report of Task Group RTG-057, TR-AVT-180, www.cso.nato.int (2014)Search in Google Scholar

[6] “Agilis AATAS Software - A complete suite of software for a high cycle fatigue testing of rotating turbo machinery from conception to data reduction” www.agilismeasurementsystems.com (2012)Search in Google Scholar

[7] “Overview of Blade Vibration Monitoring Capabilities”, Hood Technology Corporation www.hoodtech.com (2011)Search in Google Scholar

[8] M. Zielinski, G. Ziller “Noncontact Blade Vibration Measurement System for Aero Engine Application”. 17th International Symposium on Airbreathing Engines, Paper No. ISABE-2005-1220 Munich (2005)Search in Google Scholar

[9] O. Jousselin “Blade Tip Timing Batch Processor User Guide” DNS147027, Rolls-Royce plc (2011)Search in Google Scholar

[10] “BT Blade Timing Non-Contact Testing System” APEX Turbine Testing Technologies, apexturbine.com (2014)Search in Google Scholar

[11] “Capacitive Blade Tip Clearance & Tip Timing measurement system” Fogale nanotech, www.fogale.fr (2012)Search in Google Scholar

[12] “Blade Tip Timing System” Rotadata brochure, Derby (2014).Search in Google Scholar

[13] P. Russhard “BTT MultiTool software” http://emtd-measurement.com/ (2015)Search in Google Scholar

[14] P. Russhard “BTT Data Zeroing Techniques”, MFPT and ISA’s 59th International Instrumentation Symposium (2013).Search in Google Scholar

[15] P. A. Blume “The LabVIEW style book”. Pearson Education (2007).Search in Google Scholar

[16] R. Johansson “Introduction to Scientific Computing in Python”, github.com/jrjohansson/scientific-python-lectures (2014)Search in Google Scholar

[17] W. McKinney “Python for data analysis: Data wrangling with Pandas, NumPy, and IPython”, O’Reilly Media, Inc.. (2012).Search in Google Scholar

[18] H. Shen “Interactive notebooks: Sharing the code” Nature, 515(7525), 151-152 (2014).Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo