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White Papers

Embracing the Future of the Industrial Internet: Prognostics and the Next Wave of Data Analytics

What exactly does the term the Industrial Internet mean? The Industrial Internet merges big iron to big data to create brilliant machines. This allows industries to work more efficiently, minimize waste, and allows people to make smarter decisions. Download the whitepaper to learn more about how prognostic technology is impacting the future of the Industrial Internet and transforming different industries.

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Published May 29, 2014

Prognostics and Data Modeling that Extend the Remaining Useful Life of Wind Turbines

Wind energy continues to grow in popularity as a source of renewable energy. In 2012, 42% of all new energy generating capacity is attributed to wind turbines making it the #1 source of new capacity. Managing the use of wind turbines has been exceptionally challenging because their operating lifetime is only for five to thirteen years which is much lower than the expectation that they will last between 20 and 30 years.

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Published September 30, 2013

A Better Approach for More Efficient, Cost Effective Evaluation of Machinery

Machinery testing that involves all types of equipment from airplanes to automobiles to tractors is very expensive and time consuming because great care must be taken to ensure that the specific component or device operates properly over its warranted time frame. Failure to do so, invited higher costs and even more damaging issues such as a loss of reputation in the manufacturing sector.

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Published May 31, 2013

Introducing Sentient Science’s DigitalClone Technology

More than a decade ago, the Federal government began looking for advanced technologies that would give U.S. manufacturing a competitive advantage by significantly reducing the time and cost to get new materials to market and to better predict product lifetimes. Sentient Science stepped up to the plate by creating and developing a new
technology that eliminates the old physical testing paradigm and replaces it with “smart testing” an optimal blend of computational and physical testing. This new paradigm offers customers a way to test more rigorously in half the time and at a fraction of the cost, leading to higher confidence in product performance. In the same way that the Human Genome Project decoded genetic information, our technology decodes and sequences a material’s inherent grain or fiber property information.

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Published March 15, 2013

Modeling and Simulation of Vibration Signatures in Propulsion Subsystems

A fundamental problem in the development and validation of PHM technologies is the general shortage of realistic fault signature data. While healthy signatures can be obtained from operational systems, faults are relatively rare and difficult to observe. The PHM community must rely primarily on bench level seeded fault test data collected under a limited set of conditions.

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Published March 15, 2013

Failure Modes And Prognostic Techniques For H-60 Tail Rotor Drive System Bearings

The failure modes and diagnostic/prognostic signatures for the oil cooler and hanger bearings used in the tail rotor drive system of the H-60 series of helicopters are being researched. The overall goal is to develop a prognosis system to track and predict bearing degradation and to integrate those technologies with the open architecture IMD-HUMS. This paper summarizes the challenges and advancements that have been experienced while improving the diagnostic capabilities for the bearings.

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Published March 15, 2013

Bearing Health Monitoring and Life Extension in Satellite Momentum/Reaction Wheels

Bearing faults in momentum/reaction wheels and control moment gyros are a significant life- and performance-limiting factor in spacecraft. Even when complete failure does not occur, problems with excessive bearing torque and torque noise can drain power and negatively impact vibration sensitive instruments. The failure mechanisms in these applications and the monitoring technologies needed are significantly different from most terrestrial and aircraft systems. This paper describes field experience and experimental data on bearing faults in satellite applications, and presents new monitoring technologies that allow optimal control of lubrication, thus extending life and preventing torque anomalies.

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Published March 15, 2013

Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components

This paper summarizes the CLP models development, and validation efforts by comparing the simulation results with rotorcraft spiral bevel gear physical test data. CLP analyzes gear components and systems for safety, longevity, reliability and cost by predicting (1) New gearbox component performance, and optimal time-to-remanufacture (2) Qualification of used gearbox components for remanufacturing process (3) Predicting the remanufactured component performance.

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Published March 15, 2013