Identification of Vibration Events in Rotating Blades Using a Fiber Optical Tip Timing Sensor

The blade tip timing (BTT) technique has been widely used in rotation machinery for non-contact blade vibration measurements. As BTT data is under-sampled, it requires complicated algorithms to reconstruct vibration parameters. Before reconstructing the vibration parameters, the right data segment should first be extracted from the massive volumes of BTT data that include noise from blade vibration events. This step requires manual intervention, is highly dependent on the skill of the operator, and has also made it difficult to automate BTT technique applications. This article proposes an included angle distribution (IAD) correlation method between adjacent revolutions to identify blade vibration events automatically in real time. All included angles of the rotor between any two adjacent blades were accurately detected by only one fiber optical tip timing sensor. Three formulas for calculating IAD correlation were then proposed to identify three types of blade vibration events: the blades’ overall vibrations, vibration of the adjacent two blades, and vibration of a specific blade. Further, the IAD correlation method was optimized in the calculating process to reduce computation load when identifying every blade’s vibration events. The presented IAD correlation method could be used for embedded, real-time, and automatic processing applications. Experimental results showed that the proposed method could identify all vibration events in rotating blades, even small events which may be wrongly identified by skillful operators.

[1]  Gotzon Aldabaldetreku,et al.  An Optical Fiber Bundle Sensor for Tip Clearance and Tip Timing Measurements in a Turbine Rig , 2013, Sensors.

[2]  Steve Heath.  A New Technique for Identifying Synchronous Resonances Using Tip-Timing , 2000 .

[3]  Mehmet Imregun,et al.  A Survey of Blade Tip-Timing Measurement Techniques for Turbomachinery Vibration , 1998 .

[4]  Arnaud Talon,et al.  Improvement of Compressor Blade Vibrations Spectral Analysis From Tip Timing Data: Aliasing Reduction , 2013 .

[5]  P. S. Heyns,et al.  A Comparison Between Three Blade Tip Timing Algorithms for Estimating Synchronous Turbomachine Blade Vibration , 2015 .

[6]  Jan R. Wright,et al.  A class of methods for the analysis of Blade Tip Timing Data from bladed assemblies undergoing simultaneous resonances. Part I: Theoretical Development , 2007 .

[7]  Jie Li,et al.  A Blade Tip Timing Method Based on a Microwave Sensor , 2017, Sensors.

[8]  Fajie Duan,et al.  Numerical analysis of the blade tip-timing signal of a fiber bundle sensor probe , 2015 .

[9]  Jan R. Wright,et al.  BLADE-TIP TIMING MEASUREMENT OF SYNCHRONOUS VIBRATIONS OF ROTATING BLADED ASSEMBLIES , 2002 .

[10]  Craig Lawson,et al.  Tubomachinery blade vibration amplitude measurement through tip timing with capacitance tip clearanc , 2005 .

[11]  Philippe Voinis,et al.  Modal parameter identification of mistuned bladed disks using tip timing data , 2008 .

[12]  Vsevolod Kharyton,et al.  Using Tiptiming and Strain Gauge Data for the Estimation of Consumed Life in a Compressor Blisk Subjected to Stall-Induced Loading , 2014 .

[13]  Pavel Prochazka,et al.  New Methods of Noncontact Sensing of Blade Vibrations and Deflections in Turbomachinery , 2014, IEEE Transactions on Instrumentation and Measurement.

[14]  Yongmin Yang,et al.  A Non-Uniformly Under-Sampled Blade Tip-Timing Signal Reconstruction Method for Blade Vibration Monitoring , 2015, Sensors.

[15]  Fajie Duan,et al.  Blade resonance parameter identification based on tip-timing method without the once-per revolution sensor , 2016 .

[16]  Robert X. Gao,et al.  Non-contact identification of rotating blade vibration , 2015 .

[17]  Grigorios Dimitriadis,et al.  A Discussion on the Advancement of Blade Tip Timing Data Processing , 2017 .

[18]  K. S. Chana,et al.  The Use of Eddy Current Sensor Based Blade Tip Timing for FOD Detection , 2008 .