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Sunnyvale, CA, United States

Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase I | Award Amount: 70.00K | Year: 2005

Corrosion Health Monitoring Systems (HMS) and Prognostics are key to maintaining the performance and reliability of high value, critical structures. Army seeks to minimize life-cycle costs due to environmental degradation of nonmetallic materials and corrosion of metals for missile and aging aircraft components by early detection, monitoring and prediction of corrosion using a HMS that satisfies critical size, weight, power and location constraints, e.g. underneath paint layers, thereby requiring state-of-the-art in microsensor and electronic subsystem technologies. Combining its sensor products and a custom-designed 3M Flexicircuit, Analatom proposes to develop a Corrosion Monitoring system that is both practical and feasible for missiles and aircraft monitoring, consisting of a multiplexed system of several nodes that obtain data from several low cost, microfabricated corrosion and MEMS strain gauge sensors with real time intelligent algorithms to detect, monitor and predict corrosion rates; use simple integrated electronic components for sensor interfacing; low cost, off-the-shelf microcontroller chips for data acquisition and processing, and download the sensor network data to a central health management system. During Phase I, the architectural strategy and failure-mode prediction algorithms will be developed along with feasibility demonstration. Software and interface protocols issues will additionally be addressed during this effort.


Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase I | Award Amount: 119.94K | Year: 2005

An integrated Structural Health Monitoring (SHM) diagnostics/prognostics system will improve the affordability, survivability, and service life of Unmanned Air Vehicles (UAVs) by ensuring the performance and reliability of high value, critical components on-board the UAV. The detection, monitoring and prediction of structural and material degradation are critical diagnoses for maintaining efficiency and battle readiness. Using its existing SHM system platform presently being field tested by Boeing and Delta Air Lines, Analatom proposes to develop an integrated central health management system for UAVs using a combination of MEMS strain gauges, Linear Polarization Resistance (LPR) corrosion sensors and a Texas Instruments (TI) MSP430 microprocessor for lower weight, power and cost requirements and higher sensitivity than conventional sensors. Data transmission and downloading will be accomplished through either a hardwired approach, or through wireless data links when assessment for final system implementation is completed. Use of Motorola neuRFonTM chip for a wireless, self-organizing network that has low power requirements would be investigated and pursued. The envisioned system will meet the cost and weight requirements for UAV applications by multiplexing low cost, microfabricated MEMS strain gauges, corrosion sensors; and data acquisition, processing and subsequent data transmission via wired or wireless interface for data downloading.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 149.96K | Year: 2005

Corrosion Health Monitoring Systems (HMS) and Prognostics are key to maintaining the performance and reliability of high value, critical structures. Joint Strike Fighter (JSF) Corrosion and Control Plan seeks to minimize life-cycle costs due to environmental degradation of nonmetallic materials and corrosion of metals by early detection, monitoring and prediction of corrosion using a HMS that meets critical size, weight, and power constraints, thereby requiring state-of-the-art in microsensor and electronic subsystem technologies. Combining its sensor products, Analatom proposes to develop a Wireless Corrosion Monitoring system for JSF consisting of a multiplexed system consisting of several nodes to obtain data from several low cost, microfabricated corrosion and MEMS strain gauge sensors, with real time intelligent algorithms to detect, monitor and predict corrosion rates; simple integrated electronic components for sensor interfacing, low cost, off-the-shelf microcontroller chips for data acquisition and processing; and a low-power, low-cost wireless network system for downloading the sensor network data to a central health management system. During Phase I, the architectural strategy will be developed along with feasibility demonstration of a wireless corrosion sensor system. Data collection and software protocols issues for data downloading will additionally be addressed during this effort.


Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase I | Award Amount: 69.91K | Year: 2005

In this project we propose to make a unique and complete data mining system, specifically developed for Structural Health Monitoring (SHM). Even more particular about the system is the way it is aimed at vehicles and other structures that form fleets as they are procured in the Army. In the project the integrity of the data is weighted to be as important as the algorithms that mine the data. As such the complete system will be developed and `off the shelf' analysis techniques avialble in many commercial database software will be employed. From the onset this project aims to ensure that the envisaged system addresses the real practical issues of a complete system. All aspects of detail such as format, data types and stamping are addressed. The project proposes to use a well-developed system of sensors, nodes, local and global databanks to provide the data for the analysis/mining. Data form the sensors will be analyzed on the nodes and all redundant data immediately removed. This aims to reduce bandwidth. Additionally, the nodes will be enabled to provide early warning of system failures such as leak or impact detection. This will provide on the ground staff with immediate and practical information.


Grant
Agency: Department of Defense | Branch: Army | Program: SBIR | Phase: Phase I | Award Amount: 69.90K | Year: 2005

A three-dimensional diagnostic/prognostic imaging system that is specifically designed for Structural Health Monitoring (SHM) is proposed. Core to the system under development is attention to the data that is produced, and ensuring that it is optimized for the purpose of prognostics. To this aim as much attention is paid to the system that collects the data as to the algorithms that analyze the data. A family of MEMS based sensors can provide both strain and corrosion measurement in a package a few mils thick that can be embedded during the motor casing fiber winding process for missile damage assessment. The unique strain measurement sensor is capable of separately measuring pure strain as well as bending all in one sensor. This unique capability in a micro sensor allows the direct measurement of both shear faults as well as impact damage. The corrosion micro sensor is a proven design being evaluated for application on laminated structures on new weapon systems. The combination of these two measurements (strain and corrosion) can provide data during the manufacturing process to assure that the parts are free from faults.

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