Skip Navigation
SBIR/STTR

Novel Non-Intrusive Vibration Monitoring System for Turbopumps, Phase I

Completed Technology Project

Project Introduction

Novel Non-Intrusive Vibration Monitoring System for Turbopumps, Phase I
AI Signal Research, Inc. proposes to develop a Non-Intrusive Vibration Measurement System (NI-VMS) for turbopumps which will provide effective on-board/off-board fault detection diagnostic capabilities without relying on any intrusive installation of once per revolution (1/Rev) tachometer key phasor measurement. Many vibration signature analysis techniques use a key phasor signal to identify and detect critical vibration characteristics and fault signatures. However, in many operational environments (e.g., SSME HPOTP), the tachometer measurement is not available usually due to its intrusive installation requirement or safety consideration. For this situation, many powerful diagnostic analyses cannot be performed. With our system, we over come this problem by utilizing a novel signal analysis technique called Pseudo Key Phasor (PKP) to reconstruct an equivalent 1/Rev PKP signal directly from a non-intrusive vibration measurement. The resulting PKP signal enables the use of effective signature analysis to enhance diagnostic capabilities. The applicable innovation is attributed to to effectively achieve non-intrusive health monitoring and diagnosis without intrusive tachometer installation. This technology will enhance incipient fault detection capability, reducing catastrophic engine failure risks and improve reliability of NASA's advanced propulsion systems. Phase I objectives are to demonstrate the feasibility and relative benefits of NI-VMS non-intrusive monitoring capabilities. More »

Anticipated Benefits

Primary U.S. Work Locations and Key Partners

Project Library

Share this Project

Organizational Responsibility

Project Management

Project Duration

Light bulb

Suggest an Edit

Recommend changes and additions to this project record.

This is a historic project that was completed before the creation of TechPort on October 1, 2012. Available data has been included. This record may contain less data than currently active projects.

^