Noninterference identification of rotating blade vibration

P. Wang, R. Gao, Z. Fan, D. Karg, K. Kwolek, A. Consiglio

Research output: Contribution to conferencePaperpeer-review


The paper presents a non-interference measurement and diagnostic method for the parametric identification of vibrations in rotating engine blades, based on blade tip-timing (BTT) measured by optical sensors. Because of the inherent under-sampling nature associated with BTT measurement, effective algorithms are needed to extract key vibration parameters such as frequency and amplitude from the measurement. In this paper, an enhanced estimation of signal parameters via rotational invariance technique (ESPRIT) is proposed. The main advantage of this technique is its ability to analyze both single and multi-mode blade vibrations spreading across a wide dynamic range, while accommodating the effect of varying rotational speeds and sensor installation errors. Analysis and numerical simulation have shown that the method can effectively improve the accuracy and robustness of vibration frequency and amplitude estimation compared to the traditional ESPRIT.

Original languageEnglish
StatePublished - 2014
Event12th International Conference on Motion and Vibration Control, MOVIC 2014 - Sapporo, Hokkaido, Japan
Duration: Aug 3 2014Aug 7 2014


Conference12th International Conference on Motion and Vibration Control, MOVIC 2014
CitySapporo, Hokkaido


  • Blade tip timing
  • Blade vibration
  • Noninterference measurement
  • Under-sampled signal

ASJC Scopus subject areas

  • Control and Systems Engineering


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