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Procedia Engineering 29 (2012) 3002 – 3006 1877-7058 © 2011 Published by Elsevier Ltd. doi:10.1016/j.proeng.2012.01.429 Procedia Engineering 00 (2011) 000–000

Procedia

Engineering

www.elsevier.com/locate/procedia

2012 International Workshop on Information and Electronics Engineering (IWIEE)

Fault Diagnosis for Civil Aviation Engine Test Based on the

Vibration Signal

Xiangyang Jin

a

*,Hanlin Yang

a

, Heteng Wang

a

aSchool of Light Industry, Harbin University of Commerce, Harbin 150028, China

Abstract

In this paper, the fault diagnosis for excessive vibration value of LP Rotor in a turbofan engine test is analyzed. The vibration data collected in the test indicates that the amplitude enlarges with the increase in rotation frequency and reaches its maximum value at a certain frequency-doubling point. By various analysis and judgment, the main reason that causes the vibration of engine’s high pressure rotor is the blade damage. The conclusion has certain significance for the fault diagnosis for civil aviation engine test.

© 2011 Published by Elsevier Ltd.

Keywords: Aero engine; Vibration analysis; Soldered dot off; Fault diagnosis

1. Introduction

Civil aviation engine is an important part of the aircraft. Recently, with the continuous improvement of the thrust, rotate speed, dynamic strength, its working process and structure are becoming increasingly complex, which may lead to the increasing loads caused by engine components’ vibration, so the examples about vibration damage also significantly increase[1]. Therefore, an accurate master of the vibration state and vibration characteristics of the engine is the key mean to determine whether the motion characteristics of engine rotor are good or not. So much information can be applied to mechanical fault diagnosis and monitoring, including vibration, temperature, pressure, sound and distortion, among which the vibration signal can be used to reflect the operational status of machinery and equipment more quickly and directly; according to statistics, more than 70% faults are manifested in the form of vibration[2]. Information about mechanical state contained in vibration signal is very rich, which can directly reflect

* Corresponding author. Tel.: 13304513005; fax: 0451-84865185. E-mail address: jinxiangyang@126.com.

Open access under CC BY-NC-ND license. Open access under CC BY-NC-ND license.

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the working state of structure system. For high-speed rotating machinery like civil aviation engine, to achieve the fault diagnosis for rotor system by vibration signal analysis is high sensitively[3].

2. Arrangement of Measuring Points for Vibration Sensor and Vibration Measurement

Air engine is a kind of rotating machinery whose work speed is higher than its critical speed. There are multiple rotating rotors in the internal structure of the civil aviation engine, in which multiple local oscillators coexist, with the vibration issued by oscillators overlapping. Because of the high work temperature in part of the engine, extreme working conditions, and serious electromagnetic interference of oil mist, the rotor vibration signals measured on site usually contain random noise and other interference components, resulting in frequent occurrence of situations such as low signal to noise ratio (SNR) of the measured signals and negative value of SNR[4]. At the same time, the fault-related machine vibration is often disturbed by the structure vibration of the machine, and some components (such as: the process of meshing in the gear box) will have an impact vibration, which cause resonance of the entire machine[5]. Therefore, the vibration generated by failure is a kind of all-round machine vibration. All these problems have greatly increased the complexity of the vibration signals measured by the sensor, impeding measurements for the engine vibration and causing trouble to accurate information extraction of fault feature and correct trouble-shooting of fault. Consequently, how to choose the right vibration sensors and vibration measuring instrument in a reasonable way to quickly and accurately measure engine vibration is especially necessary.

A certain type of aircraft engine vibration measurement is to use a rugged and reliable measurement of piezoelectric accelerometer to measure the vibration acceleration information of the external casing of the engine, and the installation position of the acceleration sensor is shown in Fig.1.

Fig. 1. Installation of an engine acceleration sensor

Tracking filters, accelerometers and signal conditioners (charge amplifier, filter, integrator, etc.) processed by digital signal technology as well as connecting cable usually use integral circuit. A narrow band pass filter or speed automatic tracking filter device controlled by a computer program are applied to track and identify the vibration signal, monitor vibration signals of high and low pressure rotor, and give data such as amplitude-frequency characteristic and phase characteristics of the vibration. The frequency of the rotation speed of the engine and the vibration acceleration component of its harmonic are separated from the broadband vibration signal.

Vibration sensor is installed in the engine casing, and the vibration caused by the high and low pressure rotor and other rotating parts is obtained by it after passed through bearings, power transmission structure and casing vibration sensor. As the vibration measurement point is close to the oscillator, the

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measurement error is reduced, so the vibration signals measured by the sensor accurately reflect the vibration state of rotor. The most prominent feature of this measurement method is the vibration measurement and analysis for the multi-rotor engine, which is very important for locating the oscillator.

3. Feature Extraction of Vibration Information

The implementation of rotating machinery vibration monitoring and fault diagnosis technology includes four steps: vibration signal acquisition, extraction of feature information, state identification and diagnosis decision-making. Vibration signal acquisition is the premise of fault diagnosis, and the extraction of information feature is the key to fault diagnosis; in the process of vibration monitoring and fault diagnosis of civil aviation engine, the feature extraction of vibration fault has played an increasingly

Table 1 The vibration characteristics of several common faults Typical fault Characteristic

frequency Constant frequency Phase characteristic Axis Trajectory Precession direction

Eccentric mass 1× stable Elliptic precession Positive Unchanged

Bending of rotor 1× 2× Stable Elliptic precession Positive

Transverse crack Semi-critical point 2× 2×,3×High frequency harmonics Irregular Double-elliptic or irregular Positive precession Misalignment 2× 1× 3× Less stable Double-loop elliptic precession Positive Surge Ultralow frequency 0.5-20Hz 1× Unstable Disorder precession Positive Loose

connection

Fundamental frequency and fraction harmonics

2×,3 ×… Unstable Disorder Positive

precession

important role, so the effective and accurate feature extraction will directly determine the implementationof the latter two steps. To accurately and effectively utilize sensors to acquire vibration information of the rotating machinery is the basic requirement to the abnormal findings as well as quick and accurate fault diagnosis. At the same time, how to extract the feature information which can reflect the healthy state of the rotating machinery using the vibration signal measured by sensors is the key factor to ensure the accuracy of fault diagnosis.

The vibration problem of civil aviation engine rotor is very complex, causing by various issues, but it is also traceable. There exists certain regularity in common faults of rotating machinery such as rubbing, cracking, and foundation loosening, etc. The vibration characteristics of some typical faults are as shown in the table 1. By means of the feature laws, professionals can find fault in advance to conduct adjustment and detection.

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4. Steps for Vibration Fault Diagnosis

The implementation of rotating machinery vibration monitoring and fault diagnosis technology includes four steps: vibration signal acquisition, feature extraction of information, state identification and diagnosis decision-making, as shown in Fig.2.

Fig. 2. The flow chart of aircraft engine vibration monitoring and fault diagnosis

Vibration signal acquisition is the premise of fault diagnosis. To accurately and effectively utilize sensors to acquire vibration information of the rotating machinery is the basic requirement to the abnormal findings as well as quick and accurate fault diagnosis. While the extraction of feature information is the key to fault diagnosis, so the effective and accurate feature extraction will directly determine the implementation of the latter two steps. At the same time, how to extract the feature information which can reflect the healthy state of the rotating machinery using the vibration signal measured by sensors is the key factor to ensure the accuracy of fault diagnosis. In the process of vibration monitoring and fault diagnosis of civil aviation engine, the feature extraction of vibration fault has played an increasingly important role.

5. Examples of Vibration Fault Diagnosis

3-rotor turbofan engine was sent back to the engine maintenance department due to the abnormal vibration. The vibration of low pressure rotor was over great in the test process. As shown in Fig.3, in the process that slow vehicle was gradually pushed to the full load,the vibration value soared volatility when N1 was in the range of 300 to 760 second, which has exceeded the permitted value of test. Spectral analysis indicates that there are a total of three peaks and the amplitude is respectively0.25, 0.40 Amp, 0.29 Amp at 180 Hz,480Hz, 760 Hz, as shown in Fig.4.

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By the analysis on the vibration monitoring data acquired in the testing process, first the fault of rotor imbalance can be ruled out because when the unbalanced fault occurs, the vibration has a continuous increase with the rise in rotating speed, while when N1 changes from 0 to 80%, the vibration has no obvious change; in addition, the vibration frequency caused by rubbing is usually twice as much as the rotating speed, however, the vibration frequency in this case and the rotor speed do not have a frequency doubling relationship, so the rubbing fault can be ruled out.With a general direction, we will focus on the accessories related to the rotor in the process of overhauling the engine. Finally, the main reason that leads to excessive vibration when the blade damaged is found. Then, the blade damage is repaired, as shown in Fig.5. Re-test and do spectral analysis, and the vibration failure are eliminated.

Fig.5. Blade damage picture

6. Conclusion

When the engine is at work, the blades will encounter various types of periodic excitation, and after accumulating a certain number of cycles, the blades becomes gradually damaged.Therefore, vibration monitoring and fault diagnosis of civil aviation engine are always emphasized. Compared with other methods, vibration diagnostic technique has occupied a dominating position in the rotating machinery fault diagnosis system due to its obvious advantages such as sound theoretical base, perfect analytical testing equipment, accurate and reliable diagnosis result, no need to halt or disassemble in the diagnosis process, convenient real-time diagnostics and so on.

References:

[1]G. Ding, S.S. Zhong. Approximation Capability Analysis of Parallel Process Neural Network with Application to Aircraft Engine Health Condition Monitoring. Lecture Notes in Computer Science, 2007, 4493:66~72

[2]P. Honor, N. Ari. Gas Path Debris Monitoring for F-35 Joint Strike Fighter Propulsion System PHM. IEEE 0-7803-9546-8/06: 1~8

[3]M.P. Enright, S.J. Hudak, R.C. McClung, et al. Application of Probabilistic Fracture Mechanics to Prognosis of Aircraft Engine Components. AIAA Journal, 2006, 44(2): 311~316

[4]L.M. Gelman, P.R. White, J.K. Hammond. A Comparison of Nonlinear Techniques for Structural Health Monitoring. AIAA-2006-2112, 2006

[5]Gan Minliang, Yang Zhong. Time-Series Modeling and Fault Forecast Study on Spectral Analysis of Lubricating Oil. Transactions of Nanjing University of Aeronautics & Astronautics, 2001, 18(1): 86~90.

References

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