NDLI: Bladed disk crack detection through advanced analysis of blade time of arrival signal

Content Provider	IEEE Xplore Digital Library
Author	Hanachi, H. Alavi, E. Liu, J. Banerjee, A. Koul, A. Liang, M.
Copyright Year	2012
Description	Author affiliation: Unit 23, 1010 Polytek street, Ottawa, ON, K1J 9J1, Canada (Banerjee, A.; Koul, A.) \|\| Dept. of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, K1S 5B6, Canada (Hanachi, H.; Liu, J.) \|\| Dept. of Mechanical Engineering, University of Ottawa, ON, K1N 6N5, Canada (Alavi, E.; Liang, M.)
Abstract	Health condition monitoring and fault diagnostics of turbo fan engines play significant roles in overall cost reduction and reliability enhancement of the aircraft system. Among various types of potential faults in a turbo fan engine, crack initiation and propagation in the bladed disks of engines caused by high-cycle fatigue under cyclic loads are typical ones that could result in the breakdown of the engines if not detected at an early stage. Reliable fault detection techniques are therefore required to detect impending engine malfunctions as well as unexpected failures that could otherwise lead to costly and/or catastrophic consequences. Although a number of approaches have been reported in literature, it still remains very challenging to develop a reliable technique to accurately estimate the health condition of bladed disks of engines. As such, this paper presents a new technique for engine bladed disk crack detection through advanced analysis of blade time-of-arrival signal. Two stages of signal processing are involved in this technique: 1) signal preprocessing for removing the noise caused by rotor imbalance; and 2) signal post-processing for identifying the location of the crack. The effectiveness of the developed technique is validated experimentally in a spin rig test.
Starting Page	1
Ending Page	4
File Size	272818
Page Count	4
File Format	PDF
ISBN	9781467303569
e-ISBN	9781467303583
DOI	10.1109/ICPHM.2012.6299542
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blades physical modeling signal processing bladed disk fault detection turbo fan engine Engines Shafts Vibrations feature extraction wavelet analysis Feature extraction Reliability Turbines
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Bladed Disk Crack Detection through Advanced Analysis of Blade Passage Signals

Fault Diagnosis of Marine Main Engine Cylinder Cover Based on Vibration Signal

Operational Fault Feature Extraction of Blade Based on Vibration of Wind Turbine

Feature Extraction of Rotor Systems with Coupling Fault with Crack and Rub-Impact

Fault diagnosis of marine main engine shaft using support vector machines

The Application of Support Vector Machines (SVM) to Fault Diagnosis of Marine Main Engine Cylinder Cover

Signal extraction and fault identification of steam turbine vibration

Unstable engine vibration signal analysis using cyclostationarity and support vector machine theory

Cracked Blade Detection From Bladed Disk Forced Response

Bladed disk crack detection through advanced analysis of blade time of arrival signal

Similar Documents

Bladed Disk Crack Detection through Advanced Analysis of Blade Passage Signals

Fault Diagnosis of Marine Main Engine Cylinder Cover Based on Vibration Signal

Operational Fault Feature Extraction of Blade Based on Vibration of Wind Turbine

Feature Extraction of Rotor Systems with Coupling Fault with Crack and Rub-Impact

Fault diagnosis of marine main engine shaft using support vector machines

The Application of Support Vector Machines (SVM) to Fault Diagnosis of Marine Main Engine Cylinder Cover

Signal extraction and fault identification of steam turbine vibration

Unstable engine vibration signal analysis using cyclostationarity and support vector machine theory

Cracked Blade Detection From Bladed Disk Forced Response

Bladed disk crack detection through advanced analysis of blade time of arrival signal