Dr. Nikunj Oza Profile

Dr. Nikunj Oza

at NASA Ames Research Ctr

SPIE Involvement:

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Publications (1)

Proceedings Article | 9 April 2010 Paper

Propulsion health monitoring of a turbine engine disk using spin test data

Ali Abdul-Aziz, Mark Woike, Nikunj Oza, Bryan Matthews, George Baakilini

Proceedings Volume 7650, 76501B (2010) https://doi.org/10.1117/12.847574

KEYWORDS: Sensors, Data modeling, Detection and tracking algorithms, Sensor technology, Safety, Analytical research, Nondestructive evaluation, Inspection, Capacitance, Environmental monitoring

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On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to increase safety of operation and lower maintenance costs. Health monitoring remains a challenging feature to easily implement, especially, in the presence of scattered loading conditions, crack size, component geometry and materials properties. The current trend, however, is to utilize noninvasive types of health monitoring or nondestructive techniques to detect hidden flaws and mini cracks before any catastrophic event occurs. These techniques go further to evaluate materials' discontinuities and other anomalies that have grown to the level of critical defects which can lead to failure. Generally, health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length, while acting in a neutral form upon the overall performance of the engine system. Efforts are under way at NASA Glenn Research Center through support of the Intelligent Vehicle Health Management Project (IVHM) to develop and implement such sensor technology for a wide variety of applications. These efforts are focused on developing high temperature, wireless, low cost and durable products. Therefore, in an effort to address the technical issues concerning health monitoring of a rotor disk, this paper considers data collected from an experimental study using high frequency capacitive sensor technology to capture blade tip clearance and tip timing measurements in a rotating engine-like-disk-to predict the disk faults and assess its structural integrity. The experimental results collected at a range of rotational speeds from tests conducted at the NASA Glenn Research Center's Rotordynamics Laboratory will be evaluated using multiple data-driven anomaly detection techniques to identify anomalies in the disk. This study is expected to present a select evaluation of online health monitoring of a rotating disk using these high caliber sensors and test the capability of the in-house spin system.

Conference Committee Involvement (2)

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006

17 April 2006 | Orlando (Kissimmee), Florida, United States

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005

28 March 2005 | Orlando, Florida, United States

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