The ability to quickly evaluate the remaining charge in a fielded battery and to reliably identify batteries that have reduced capacity with the potential for failure are the hallmarks of battery prognostics applications.
Battery prognostics can reduce acquisition costs and increase critical supply levels by making the alternate rechargeable battery more attractive and prevent the unnecessary disposal of primary batteries already in use.
The accuracy of the prognostics has been verified to be within 5.5% of the actual value in all cases.
Prognostics is the global leader in customer research-based consulting for the information technology industry.
Prognostics asked Vertigo to redesign their software to add extensive new functionality and a faster more scalable database architecture.
In conjunction with Prognostics' RAP (Research Analysis Program) users and internal developers, Vertigo Software developed a suite of web applications that enabled Prognostics to reduce costs and provide more powerful and efficient services to their customers.
Equipment prognostics and health management as part of operations and maintenance is a critical technology for accurately predicting impending failures and providing a mechanism for replacing parts safely before failure.
Attempting to use model based detection methods when dealing with complex systems is often infeasible because the approximations necessary to develop computationally tractable models of complex systems based on fundamentals of physics are difficult to make without introducing significant model inaccuracies in the time and length scale of interest.
The prognostic system with use would learn the characteristics of the monitored system so that anomalies could be detected more quickly as it learned and remaining life estimates could be given with smaller associated uncertainty.
The Prognostics, Advanced Diagnostics and Health Management (PADHM) system is an online collaborative environment for exchange of ideas among all Military Branches and the Private Sector and also servers as a central repository of desired information.
It supports the Prognostics and Health Management process of determining the state of a component to perform its funtions.
It is a predictive diagnostics which includes determining the remaining life or time span of proper operations of a component.
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The Arabic translation of the treatise on prognostics, composed of three chapters, was one of the most influential of the Hippocratic writings in the Islamic world.
In the NLM collection, lengthy quotations from Ibn al-Nafīs's commentary are preserved, and these occur in the margins of an unidentified treatise on prognostics, whose title, Fī taqdimat al-ma‘rifah wa-ahkām al-burhān (On Prognosis and the Determination of the Crisis), is reminiscent of the Hippocratic treatise on prognostics.
The opening of the second section (fann) of an unidentifed treatise on prognostics, with extensive marginal quotations from the commentary by Ibn al-Nafīs on the Hippocratic treatise on prognostics.
The Remote Prognostics Lab focuses on developing novel methods for real time diagnostics and prognostics of complex systems.
The goal is to improve the reliability, availability, and performance of high-value equipment such as gas turbines, steam turbines, generators, wind turbines, fuel cells and coal plants.
A current focus of the lab is on real-time reduced order modeling for failure prediction and advanced sensor application for diagnostics and prognostics.
www.ge.com /research/grc_4_5_2.html (130 words)
Prognostics and Health Management Consortium(Site not responding. Last check: 2007-10-24)
Provide proven prognostic sensors and in-situ monitoring strategies for cost effectively recording environmental, operational, and performance parameters of new and legacy systems
Document best practices in the use of prognostic outputs for future designs and qualification planning.
Participation in the PHMC will place members at the forefront of electronics prognostics and health management.
We will be working closely with a large Aerospace Firm to adapt some of our prognostics technology to the area of fault-tolerant data buses used to control Jet Aircraft engines" said Doug Goodman, Ridgetop’s President and CEO.
By providing the means to detect these upcoming failures, known as “prognostics”, a foundation to create more robust control capabilities is possible.
Upon success of Phase I, the contract size is typically stepped up to the $750,000 level for development of hardware prototypes and conducting the evaluation process.
NOETIS - The Disposition Prognostics (DIP) and Neo-Cybernetics (NEODIP) Company(Site not responding. Last check: 2007-10-24)
All publication "A Man in Universe and a Disposition Prognostics (a DIP) - DIP Briefly (Part I.)" is prepared for reading.
A heading "Literature" was enhanced with the complete translation of the publication "A Man in Universe and a Disposition Prognostics (a DIP) - DIP Briefly (Part I.)" into English.
There is added the heading "Literature" with information about publications of Noetis company.
Availability information may be found in the Availability, Publisher, Research Organization, Resource Relation and/or Author (affiliation information) fields and/or via the "Full-text Availability" link.
The Pacific Northwest National Laboratory (PNNL) has conducted RandD for the US Army on prognostics health monitoring (PHM).
The main focus of the work was to demonstrate the feasibility of developing an onboard PHM system for the gas turbine engine used on the M1 Abrams tank.
The mission of the Machinery Prognostics and Condition Monitoring Technical Group is to develop new methodologies and technologies for accurate and reliable prediction of remaining useful life in machinery.
These predictions will be used to optimize machinery maintenance expenditures and system safety.
Signal processing techniques for failure precursor detection and classification.
Also used when conceptual designs must migrate into final designs with full traceability and validation support.
Hybrid models that support both functions and failure modes are especially well suited to Prognostics development because of the way in which data is matured as part of creating predictive algorithms.
Currently, eXpress remains the only tool to support the hybrid diagnostic model.