Document details. IEEE Aerospace Conference Proceedings.
The NASA Langley Research Center's Unmanned Aerial System Surrogate research aircraft. Research is needed to determine what procedures, aircraft sensors and other systems will be required to allow Unmanned Aerial Systems (UAS) to safely operate with manned aircraft in the National Airspace System (NAS).
The NASA Langley Research Center has transformed a Cirrus Design SR22 general aviation (GA) aircraft into a UAS Surrogate research aircraft to serve as a platform for UAS systems research, development, flight testing and evaluation. The aircraft is manned with a Safety Pilot and systems operator that allows for flight operations almost anywhere in the NAS without the need for a Federal Aviation Administration (FAA) Certificate of Authorization (COA). The UAS Surrogate can be controlled from a modular, transportable ground station like a true UAS. The UAS Surrogate is able to file and fly in the NAS with normal traffic and is an ideal platform for real world UAS research and development compared to actual UAS flying in restricted ranges or other sterilized airspace. Abstract. Overview of Remaining Useful Life Methodologies. Nowadays, it is imperative for products to function properly each time they are used.
If a product fails during its use, it may have disastrous consequences. Estimating remaining useful life (RUL) of a product is a key to prevent such disasters, improve its reliability, provide security and reduce maintenance and operational cost. Naturally, estimation of RUL of a product and develop methodologies for the same is proving an interesting domain for researchers. This paper gives an overview of RUL estimation methodologies applied to various products. It also discusses hybrid methodologies which improve RUL estimation accuracy and overcome limitations of the individual methodologies. State-of-the-art in integrated vehicle health management.
Integrated vehicle health management (IVHM) is a collection of data relevant to the present and future performance of a vehicle system and its transformation into information can be used to support operational decisions.
This design and operation concept embraces an integration of sensors, communication technologies, and artificial intelligence to provide vehicle-wide abilities to diagnose problems and recommend solutions. This article aims to report the state-of-the-art of IVHM research by presenting a systematic review of the literature. The literature from different sources is collated and analysed, and the major emerging themes are presented. On this basis, the article describes the IVHM concept and its evolution, discusses configurations and existing applications along with main drivers, potential benefits and barriers to adoption, summarizes design guidelines and available methods, and identifies future research challenges. Engineering Applications of Artificial Intelligence - Fault diagnosis using dynamic trend analysis: A review and recent developments. Volume 20, Issue 2, March 2007, Pages 133–146 Special Issue on Applications of Artificial Intelligence in Process Systems Engineering Edited By C.
Chan, R. Idem and P. Standards for prognostics and health management. Document details. Integrated Vehicle Health Management as a system engineering discipline. Understanding Integrated Vehicle Health Management (IVHM) requires arriving at a common definition, one that captures all facets of the system.
IVHM should not be treated as a standalone subsystem, added on to the vehicle. Document details. Annual Forum Proceedings - AHS International Volume 1, 2007, Pages 362-376 American Helicopter Society International 63rd Annual Forum - Riding the Wave of New Vertical Flight Technology; Virginia Beach, VA; United States; 1 May 2007 through 3 May 2007; Code 70064 Schoeller, M.H.
IVHM Solutions Using Commercially-available Aircraft Condition Monitoring Systems. Commercial-off-the-shelf (COTS) aircraft condition monitoring system (ACMS) hardware supports critical health management functionality; real-time event forwarding or recording of any parametric/discrete data can be performed using the digital flight data acquisition unit (DFDAU).
The ubiquitous DFDAU is the predominant fielded hardware supporting this important functionality -every 737, 757 and 767 airplane must have the unit installed and the same DFDAU can be used on any of the three aircraft (derivative implementations are on other airplane models). Benefits and Challenges of System Prognostics. The ISO 13381-1 standard's failure prognostics process through an example. Industrial failure prognostics can be considered as the key process of any condition-based maintenance solution.
However, contrary to fault diagnostics which is a mature research and industrial work, failure prognostics is a new field for which few applications exist. In the last decade, the interest for this activity has led to some open and industrial standards where the main objective is to provide users with a guidelines allowing them to perform failure prognostics for a large class of industrial systems. However, these standards, rightly, do not emphasize on any particular example to illustrate their content.
The present paper aims at explaining the process of failure prognostics, presented in the standard ISO 13381-1, through an electromechanical example. The purpose is to help beginner researchers in the field of industrial failure prognostics to assimilate the main tasks of the process proposed by the standard. Document details. 38th Annual International Symposium of the Society of Flight Test Engineers, SFTE 2007, Pages II6.1-II6.10 38th Annual International Symposium of the Society of Flight Test Engineers, SFTE; St.
Louis, MO; United States; 30 July 2007 through 3 August 2007; Code 72092 Cridland, D.a, Dehmelt, C.b. Integrated Vehicle Health Management. Integrated Vehicle Health Management (IVHM) or Integrated System Health Management (ISHM) is the unified capability of systems to assess the current or future state of the member system health and integrate that picture of system health within a framework of available resources and operational demand.[1] Aims of IVHM[edit] The aims of IVHM are to enable better management of vehicle and vehicle fleet health. This is achieved through correct use of reliable sensing and prognosis systems to monitor part health and also using usage data to assist in understanding the load experienced and likely future vehicle load. History[edit] Integrated Vehicle Health Management: Perspectives on an Emerging Field - SAE BOOKSTORE.
Unique and groundbreaking—this highly-anticipated book addresses both basic and advanced concepts critical for the understanding and support of the developing field of Integrated Vehicle Health Management (IVHM). From an initial idea by the SAE IVHM Steering Group, collaboratively written by experts from academia, research and industry, the thirteen chapters within this book represent the collective voice of the most qualified authorities in the field. Highlights of the book include: a single definition and taxonomy of IVHM, as well as basic principles the identification of how and where IVHM should be implemented the commercial value of IVHM vehicle health management systems engineering algorithms and their impact on IVHM IVHM future directions and issues Case study on IHUMS.
Multi-platform Airplane Health Management. The Integrated Airplane Health Management (IAHM) program is a Navy research activity led by The Boeing Company with support from the University of Hawaii, Referentia Systems Incorporated, and Impact Technologies, LLC. The program focuses on interoperable multi-platform aircraft health management data handling and analysis methods applicable to military aircraft and commercial air transportation. A primary goal of the program is to significantly increase aircraft system reliability, safety, maintainability, availability, and affordability, resulting in improved mission performance and operational capabilities.
Integrated Vehicle Health Management (IVHM) Technical Reports Server - Research and technology goals and objectives for Integrated Vehicle Health Management (IVHM) Boeing in the UK: Integrated Vehicle Health Management Centre. Using Real Options to Manage Condition-Based Maintenance Enabled by PHM. 2011 IEEE International Conference on Prognostics and Health Management, Denver, Colorado, June 20-23, 2011 Gilbert Haddad, Peter Sandborn, and Michael Pecht Center for Advanced Life Cycle Engineering Department of Mechanical Engineering University of Maryland College Park, MD, USA Abstract: This work proposes a new economic approach that can form a cost-benefit-risk basis for optimum decision making for systems with prognostic capabilities, and a method to assess the value of PHM for its user after a prognostic indication.
PHM potentially enables performance based logistics, condition-based maintenance, and reduced life cycle cost. When an anomaly is detected in a system, and the remaining useful life is estimated, the user has to make a decision about how to operate or manage the system given a set of constraints or requirements (e.g., to maximize availability). Complete article available to CALCE Consortium Members. [Home Page] [Articles Page] Condition Based Maintenance Strategy for Equipment Failure Prevention. Untitled. Aiac14 keynote.pdf (application/pdf Object) 13374-1:2003 - Condition monitoring and diagnostics of machines. Design of integrated aircraft inflight safety monitoring and early warning system.
The adoption and use of diagnostic and prognostic technology within UK-based manufacturers. * †Currently at Cranfield School of Management, Cranfield University, Bedford, UK. email: t.grubic@cranfield.ac.uk Manufacturers are seeking increasingly innovative ways to achieve competitive advantage. An emerging trend is to exploit diagnostic and prognostic technology to support service-led competitive strategies where the emphasis is put on the ‘sale of use’ rather than the ‘sale of product’. However, little is known about the extent to which this technology is being exploited, the drivers and inhibitors, and the sectors where adoption is most prolific.