Non-contact identification of rotating blade vibration

Wang, Peng; Karg, Donald; Fan, Zhaoyan; Gao, Robert X.; Kwolek, Karrin; Consiglio, A.

doi:10.1299/mej.15-00025

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…An enhanced estimation of signal parameters via rotational invariance technique was proposed. e main advantage of this technique is its ability to analyze both single and multimode blade vibrations spreading across a wide dynamic range, while accommodating the effect of varying rotational speeds and sensor installation errors [9]. A noncontact and thus low interference experimental set-up for exciting and measuring blade vibrations was proposed and shown to work.…”

Section: Introductionmentioning

confidence: 99%

Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two‐Parameter Method without OPR Sensor

Zhang

Yuan

2021

Shock and Vibration

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Blade tip-timing is one of the most effective methods for blade vibration parameters identification of turbomachinery. Once-per revolution (OPR) sensor is usually used to determine the rotating speed and as a time reference. However, the OPR sensor leads to a large measurement error or even failure, or it is difficult to install. A new improved two-parameter method without the OPR sensor is proposed to identify the synchronous vibration parameters of variable rotating speed blades. Three eddy current sensors are required to identify the excitation order, vibration amplitude, resonance rotating speed frequency, resonance frequency, and the initial phase of the blades. Numerical simulation of blade synchronous vibration parameters identification is presented, and the identification error of the method is investigated. The simulation results show that the identification accuracy of this method is better than that of the traditional two-parameter method and the improved method in reference, especially in the identification of the vibration initial phase. Experiments are conducted based on the blade tip-timing vibration measurement system. The results indicate that the standard errors of vibration parameter identification results between the new method and the method in reference are smaller, except for the initial phase. It is consistent with the results of the simulation identification. The synchronous vibration parameter identification of variable rotating speed blades without the OPR sensor is achieved based on the new improved two-parameter method.

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Section: Introductionmentioning

confidence: 99%

Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two‐Parameter Method without OPR Sensor

Zhang

Yuan

2021

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…However, the main drawback of the BTT technique is under-sampling, which leads to frequency aliasing [6]. Different BTT data analysis methods for reconstructing vibration parameters have been provided over the past decades [7,8,9,10,11,12,13,14,15]. For synchronous blade vibrations, the least squares sine fitting method is described to predict resonance amplitude and frequency.…”

Section: Introductionmentioning

confidence: 99%

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

Duan

Jiang

et al. 2019

Sensors

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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.

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“…In the presence of vibration, each blade passes the probe at an earlier or later time compared to nonvibration cases [4,5,6,7,8,9]. By further processing those arrival times, the vibration of all blades in the circumferential direction can be obtained [10,11,12,13,14,15,16,17,18]. The noncontact BTT method could monitor all blade vibration frequencies and deflections.…”

Section: Introductionmentioning

confidence: 99%

Synchronous Vibration Measurements for Shrouded Blades Based on Fiber Optical Sensors with Lenses in a Steam Turbine

Duan

Jiang

et al. 2019

Sensors

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It is important to obtain accurate dynamic vibrations of steam turbine blades for safe operation. Strain gauge (SG) measurements cannot fully obtain vibrations of all blades and nodal diameter (ND) details. The blade tip timing (BTT) technique could resolve this problem because it has the advantage of measuring all blades’ vibrations. This article proposed an improved BTT technique for measuring synchronous vibrations of shrouded blades in a steam turbine based on fiber optical sensors with lenses. The newly developed sensor was equipped with a Plano-convex lens, and the optical path was specifically designed to collimate the beam within a large working distance from 4 to 19 mm and improve the measuring accuracy. A method to search the spectra of all peak vibration amplitudes of all the blades was proposed to obtain the ND details of synchronous vibration. Experimental results validated the efficiency and accuracy of the proposed methods and sensors. Comparison results of BTT measurements with SG measurements showed that the relative errors of normalized frequency and strain were small and acceptable.

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Non-contact identification of rotating blade vibration

Cited by 13 publications

References 14 publications

Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two‐Parameter Method without OPR Sensor

Synchronous Vibration Parameters Identification of Variable Rotating Speed Blades Based on New Improved Two‐Parameter Method without OPR Sensor

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

Synchronous Vibration Measurements for Shrouded Blades Based on Fiber Optical Sensors with Lenses in a Steam Turbine

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