A Review of Analysis Techniques for Blade Tip-Timing Measurements

Author:

Heath S.1,Imregun M.2

Affiliation:

1. Rolls Royce plc, Derby, UK

2. Imperial College, London, UK

Abstract

This paper aims at evaluating the performance of the analysis methods currently used for the interpretation of vibration data measured at turbomachinery rotor blade tips using optical laser probes. The methods are classified by the form of the vibration which they can identify, namely asynchronous and synchronous with respect to rotor speed. Both actual assembly measurements and simulated response data are used during the investigation. In the latter case, synchronous vibration data are obtained via a multi-degree-of-freedom numerical simulator, which includes the structural and geometric properties of the bladed-disk assembly, the external forcing terms and the characteristics of the optical probe. The results of the tip timing analysis are compared to those obtained from standard strain-gauge tests and the relative merits of the two approaches are discussed with emphasis on the effects of blade mistuning. Existing industry-standard tip-timing analysis techniques are found to exhibit a number of inherent limitations and suggestions were made to address these deficiencies. A detailed tip-timing case study for a steam turbine rotor is presented in some detail and other potential application areas are explored. Finally, future analysis methods and possible future developments in tip-timing systems are discussed.

Publisher

American Society of Mechanical Engineers

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1. Parameter identifications of synchronous vibration of rotating blades with large amplitude based on blade tip timing;Journal of the Global Power and Propulsion Society;2024-04-01

2. Blade tip timing for multi-mode identification based on the blade vibration velocity;Mechanical Systems and Signal Processing;2024-03

3. A GMC-Based Accelerated Algorithm for Identifying the Frequency and Amplitude of Multimode BTT Signals;IEEE Transactions on Instrumentation and Measurement;2023

4. Sampling Aliasing Frquency Distribution: Therory, Implementation, and Applicaiton;2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2022-11-30

5. A blade tip-timing method without once-per-revolution sensor for blade vibration measurement in gas turbine engines;Transactions of the Canadian Society for Mechanical Engineering;2021-09-01

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