Monitoring low cycle fatigue damage in turbine blade using vibration characteristics

Kumar, Sandeep; Roy, Niranjan; Ganguli, Ranjan

doi:10.1016/j.ymssp.2005.02.011

Cited by 84 publications

(32 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The natural frequency is altered by the presence of a crack in a turbine blade. On-rotor operation of the blade mounted sensors may face some challenges as the strain gauge device may fail due to the high temperature and aggressive environment in the gas turbine [18]. The developed system presented in the paper reduces some weaknesses of common systems using high-temperature strain gauges together with the wireless powering, which can extend the lifetime and improve effective operation inside turbine.…”

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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Mercadal et al [21] proposed the use of noncontacting stress monitoring system (NSMS) to monitor blade's resonance whereby a damaged blade is found to have shifted in its resonant frequencies. A method of using strain gauge to monitor low cycle fatigue faults in turbine blade was also proposed by Kumar et al [22]. Barschdorff and Korthauer [23] commented that the deployment of this method in operational gas turbine may face some challenges as the strain gauge device may fail due to the extremely high temperature in the gas turbine.…”

Section: Strain Gauge Measurementsmentioning

confidence: 99%

Condition Monitoring of Blade in Turbomachinery: A Review

Abdelrhman

Hee

Leong

et al. 2014

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the health condition of blades in turbomachinery. In this paper, blade faults are categorised into five types in accordance with their nature and characteristics, namely, blade rubbing, blade fatigue failure, blade deformations (twisting, creeping, corrosion, and erosion), blade fouling, and loose blade. Reviews on characteristics and the specific diagnostic methods to detect each type of blade faults are also presented. This paper also aims to provide a reference in selecting the most suitable approaches to monitor the health condition of blades in turbomachinery.

show abstract

“…Blades are the key components of large rotating machinery and the vibration parameter measurement of blades under working condition is crucial for the analysis of blade dynamical behavior, damage and failure mechanism and life estimation [1]- [3].The blade tip-timing (BTT) method has been widely used in blade vibration measurement for its advantage of noncontact and ability to measure the vibration of all blades in realtime. The BTT system measures the time when a blade tip arrives at the tip-timing sensor, and the time of arrival (TOA) changes because of the blade vibration.…”

Section: Introductionmentioning

confidence: 99%

Analysis of a Signal Preprocessing Method for Blade Tip-Timing without the Once-per Revolution Sensor

Zhang¹,

Duan²,

Jiang³

2017

Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

View full text Add to dashboard Cite

Abstract-Blade tip-timing is an effective method for blade vibration online measurement of turbomachinery. The majority of tip-timing systems require a once-per revolution (OPR) sensor installed close to the shaft to generate timing reference. In this article a tip-timing signal preprocessing method which requires no OPR sensor is analyzed. The method presented uses only tiptiming signal to obtain the vibration information of the blade and the rotating speed of the rotor. Error analysis indicates the method is less sensitive to the bend and torsional vibration of the shaft and the rotating speed measurement error can be limited. The measurement error of vibration displacement difference is analyzed and compared with the method which requires the OPR sensor. Experiments are conducted and the results indicate that the method is feasible for BTT signal preprocess without the OPR sensor and has good accuracy.

show abstract

Monitoring low cycle fatigue damage in turbine blade using vibration characteristics

Cited by 84 publications

References 26 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

Condition Monitoring of Blade in Turbomachinery: A Review

Analysis of a Signal Preprocessing Method for Blade Tip-Timing without the Once-per Revolution Sensor

Contact Info

Product

Resources

About