New Methods of Noncontact Sensing of Blade Vibrations and Deflections in Turbomachinery

Procházka, Pavel; Vaněk, František

doi:10.1109/tim.2013.2289580

Cited by 23 publications

(12 citation statements)

References 13 publications

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“…The system presented in the paper is intended to use for monitoring the stress of blade in an industrial steam turbine. The methods of structural health monitoring cover contactless tip-timing techniques using blade-tip vibrometers based on capacitive [13], magneto-resistive [14] or optical sensors [15], as well as contact techniques using fibre grating sensors [16] or mostly used strain gauges [17]. The latter method enables to monitor blade fatigue failures by studying the characteristic of flow-induced resonant vibration.…”

Section: Applications For Wireless and High-temperature Monitoringmentioning

confidence: 99%

Wirelessly Powered High-Temperature Strain Measuring Probe Based on Piezoresistive Nanocrystalline Diamond Layers

Bouřa¹,

Kulha²,

Hušák³

2016

Metrology and Measurement Systems

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A high-temperature piezo-resistive nano-crystalline diamond strain sensor and wireless powering are presented in this paper. High-temperature sensors and electronic devices are required in harsh environments where the use of conventional electronic circuits is impractical or impossible. Piezo-resistive sensors based on nano-crystalline diamond layers were successfully designed, fabricated and tested. The fabricated sensors are able to operate at temperatures of up to 250°C with a reasonable sensitivity. The basic principles and applicability of wireless powering using the near magnetic field are also presented. The system is intended mainly for circuits demanding energy consumption, such as resistive sensors or devices that consist of discrete components. The paper is focused on the practical aspect and implementation of the wireless powering. The presented equations enable to fit the frequency to the optimal range and to maximize the energy and voltage transfer with respect to the coils' properties, expected load and given geometry. The developed system uses both high-temperature active devices based on CMOS-SOI technology and strain sensors which can be wirelessly powered from a distance of up to several centimetres with the power consumption reaching hundreds of milliwatts at 200°C. The theoretical calculations are based on the general circuit theory and were performed in the software package Maple. The results were simulated in the Spice software and verified on a real sample of the measuring probe.

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Section: Applications For Wireless and High-temperature Monitoringmentioning

confidence: 99%

Wirelessly Powered High-Temperature Strain Measuring Probe Based on Piezoresistive Nanocrystalline Diamond Layers

Bouřa¹,

Kulha²,

Hušák³

2016

Metrology and Measurement Systems

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“…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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“…From this perspective, it is essential to measure and to monitor the operation of rotation machines with respect to possible blade vibrations and related phenomena in a fast and effective manner . Currently, a common method for assessment of rotor blade vibrations in routine operation is the blade tip timing (BTT) . Although various sensors are used for BTT measurements, good properties are often attributed to magneto resistive (MR) sensors .…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3] Currently, a common method for assessment of rotor blade vibrations in routine operation is the blade tip timing (BTT). 4,5 Although various sensors are used for BTT measurements, good properties are often attributed to magneto resistive (MR) sensors. 6,7 Building on long-term experience with MR tools, in-house built sensors are utilized in the Laboratory of the Rotational Laser Vibrometry of the Institute of Thermomechanics.…”

Section: Introductionmentioning

confidence: 99%

Semiparametric statistical analysis of the blade tip timing data for detection of turbine rotor speed instabilities

Brabec

Procházka

Maturkanič

2018

Quality & Reliability Eng

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In this paper, we propose an extension of an existing standard approach to the blade tip timing data when analyzing turbine rotor vibrations. Instabilities related to the non‐constant trigonometric coefficients at prominent frequencies might not be noticed in the traditional analyses. Our methodology is based on time‐varying coefficient statistical models, and hence it allows a full formalization of the estimation and other inferential tasks (uncertainty assessments, hypothesis tests etc.). First, we formulate a univariate generalized additive model that is useful for investigation of vibration behavior of individual blades. It can extract trajectories of the trigonometric coefficients. Using the trajectories, one can investigate time changes of power at a given frequency. In the second approach, we use a multivariate model for simultaneous assessment of all of the rotor blades. The model acknowledges similarity of the vibration behavior of closely located blades. It is formulated as a state‐space model, and hence it allows for a wide range of prediction, smoothing, and filtering tasks. We illustrate the performance and practical usefulness of our models on real blade tip timing turbine monitoring data obtained from the Czech nuclear power plant Temelin.

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New Methods of Noncontact Sensing of Blade Vibrations and Deflections in Turbomachinery

Cited by 23 publications

References 13 publications

Wirelessly Powered High-Temperature Strain Measuring Probe Based on Piezoresistive Nanocrystalline Diamond Layers

Wirelessly Powered High-Temperature Strain Measuring Probe Based on Piezoresistive Nanocrystalline Diamond Layers

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

Semiparametric statistical analysis of the blade tip timing data for detection of turbine rotor speed instabilities

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