Data Management Techniques for Blade Vibration Analysis

Open access

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.

If the inline PDF is not rendering correctly, you can download the PDF file here.

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

  • [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).

  • [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)

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

  • [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)

  • [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)

  • [7] “Overview of Blade Vibration Monitoring Capabilities” Hood Technology Corporation www.hoodtech.com (2011)

  • [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)

  • [9] O. Jousselin “Blade Tip Timing Batch Processor User Guide” DNS147027 Rolls-Royce plc (2011)

  • [10] “BT Blade Timing Non-Contact Testing System” APEX Turbine Testing Technologies apexturbine.com (2014)

  • [11] “Capacitive Blade Tip Clearance & Tip Timing measurement system” Fogale nanotech www.fogale.fr (2012)

  • [12] “Blade Tip Timing System” Rotadata brochure Derby (2014).

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

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

  • [15] P. A. Blume “The LabVIEW style book”. Pearson Education (2007).

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

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

  • [18] H. Shen “Interactive notebooks: Sharing the code” Nature 515(7525) 151-152 (2014).

Search
Journal information
Impact Factor


CiteScore 2018: 0.33

SCImago Journal Rank (SJR) 2018: 0.21
Source Normalized Impact per Paper (SNIP) 2018: 0.434

Cited By
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 359 238 1
PDF Downloads 188 154 8