Theoretical modeling of an electrostatic Gas-Path debris detection system with experimental validation

This paper presents a study of aero-engine exhaust gas electrostatic sensor array to estimate the spatial position, charge amount and velocity of charged particle. Firstly, this study establishes a mathematical model to analyze the inducing characteristics and obtain the spatial sensitivity distribution of sensor array. Then, Tikhonov regularization and compressed sensing are used to estimate the spatial position and charge amount of particle based on the obtained sensitivity distribution; cross-correlation algorithm is used to determine particle’s velocity. An oil calibration test rig is established to verify the proposed methods. Thirteen spatial positions are selected as the test points. The estimation errors of spatial positions and charge amounts are both within 5% when the particles are locating at central area. The errors are higher when the particles are closer to the wall and may exceed 10%. The estimation errors of velocities by using cross-correlation are all within 2%. An air-gun test rig is further established to simulate the high velocity condition and distinguish different kinds of particles such as metal particles and non-metal particles.

show abstract

“…According to the SVD theory, the sensitivity matrix S is a full row rank, which can be decomposed as in equation (16).…”

Section: Compressed Sensing Principlementioning

confidence: 99%

“…Then Lapini et al 14 applied this technology to heavy-duty gas turbines. Addabbo et al 15 , 16 analyzed the theoretical characterization of gas path debris detection and established the theoretical model. Then he researched the frequency response of the measurement system and carried out corresponding experiments.…”

Section: Introductionmentioning

confidence: 99%

Identification methods of charged particles based on aero-engine exhaust gas electrostatic sensor array

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Addabbo et al [73,74] presented a charge amplifier whose frequency response can be specifically tailored to the current application and proposed a detection post-processing algorithm to estimate the shape of the input charge pulse. This amplifier can be used to detect ultra-slow moving charged particles.…”

Section: Signal Detection Technologymentioning

confidence: 99%

A review of electrostatic monitoring technology: The state of the art and future research directions

Zhang

Hou

Atkin

2017

Progress in Aerospace Sciences

View full text Add to dashboard Cite

Electrostatic monitoring technology is a useful tool for monitoring and detecting component faults and degradation, which is necessary for system health management. It encompasses three key research areas: sensor technology; signal detection, processing and feature extraction; and verification experimentation. It has received considerable recent attention for condition monitoring due to its ability to provide warning information and non-obstructive measurements on-line. A number of papers in recent years have covered specific aspects of the technology, including sensor design optimization, sensor characteristic analysis, signal de-noising and practical applications of the technology. This paper provides a review of the recent research and of the development of electrostatic monitoring technology, with a primary emphasis on its application for the aero-engine gas path. The paper also presents a summary of some of the current applications of electrostatic monitoring technology in other industries, before concluding with a brief discussion of the current research situation and possible future challenges and research gaps in this field. The aim of this paper is to promote further research into this promising technology by increasing awareness of both the potential benefits of the technology and the current research gaps.

show abstract

“…Wilcox et al [21] investigated the application in industrial gas turbines for gas path condition monitoring and discussed the sensor installation issues. Addabbo et al [33,34] presented a theoretical modeling of an electrostatic gas path debris detection system and finished an experimental validation.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on electrostatic monitoring technology for civil turbofan engine

Yin¹,

Cai²,

Zuo³

et al. 2017

J. vibroeng.

View full text Add to dashboard Cite

This study analyzes the necessity, development, and principles of aero-engine electrostatic monitoring technology. An electrostatic sensor with specific size is assembled in the exhaust nozzle of an RB-211 turbofan engine located near the low-pressure turbine outlet, a stress checking procedure for safety is conducted. Two test program cycles are included in the whole experimental process. Electrostatic signal processing flow is presented, and feature parameters used for analysis are root-mean-square (RMS), activity level (AL), negative event rate (NER), positive event rate (PER), kurtosis, impulse factor, and absolute mean value. Thrust is used to parameterize the working conditions of the turbofan engine. Moreover, data fitting is conducted to determine the relations between feature and performance parameters. Accordingly, lubrication oil leakage fault and fuel-rich combustion condition are detected in two test run cycles, which result in the appearance of abnormal signals. The AL, RMS, and absolute mean values exhibit similar trends with the change in thrust. A positive linear correlation is also observed between the AL and the thrust in the varying thrust test period. The method of blade-casing rubbing fault recognition is discussed. Experiment results show that the electrostatic sensor is very sensitive to large-sized charged particles in the exhaust emissions.

show abstract

Theoretical modeling of an electrostatic Gas-Path debris detection system with experimental validation

Cited by 6 publications

References 19 publications

Identification methods of charged particles based on aero-engine exhaust gas electrostatic sensor array

Identification methods of charged particles based on aero-engine exhaust gas electrostatic sensor array

A review of electrostatic monitoring technology: The state of the art and future research directions

Experimental investigation on electrostatic monitoring technology for civil turbofan engine

Contact Info

Product

Resources

About