Prognostics journal provides an international forum for the electronic publication of original research and industrial experience articles in all areas of systems prognostics. Prognostics journal is an open access journal, which is freely available online to anyone, anywhere. The journal is committed to rigorous yet rapid reviewing. Final versions are published electronically (ISSN 2167-4167) immediately upon acceptance.
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Published Online: Improving Aircraft Engines Prognostics and Health Management via Anticipated Model-Based Validation of Health Indicators
Prognostics Article #541
The aircraft engines manufacturing industry is subjected to many dependability constraints from certification authorities and economic background. In particular, the costs induced by unscheduled maintenance and delays and cancellations impose to ensure a minimum level of availability. For this purpose, Prognostics and Health Management (PHM) is used as a means to perform online periodic assessment of the engines health status. The whole PHM methodology is based on the processing of some variables reflecting the systems health status named Health Indicators. The collecting of HI is an on-board embedded task which has to be specified before the entry into service for matters of retrofit costs. However, the current development methodology of PHM systems is considered as a marginal task in the industry and it is observed that most of the time, the set of HI is defined too late and only in a qualitative way. In this paper, the authors propose a novel development methodology for PHM systems centered on an anticipated model-based validation of HI. This validation is based on the use of uncertainties propagation to simulate the distributions of HI including the randomness of parameters. The paper defines also some performance metrics and criteria for the validation of the HI set. Eventually, the methodology is applied to the development of a PHM solution for an aircraft engine actuation loop. It reveals a lack of performance of the original set of HI and allows defining new ones in order to meet the specifications before the entry into service. Read Article
Published Online: Prognostic Health Management of the DC Starter/Generator
Prognostics Article #542
Prognostic Health Management (PHM) and condition monitoring are often used in aerospace applications to provide comprehensive assessment of system health and to detect performance degradation for safety critical and maintenance intensive systems. PHM tools that can predict remaining useful life of a system enable more informed maintenance decisions, reduced maintenance cost and unnecessary system downtime, and increased fleet readiness. In this paper, PHM techniques are developed for a DC starter/generator used in helicopter power system applications. The overall goal of this development is to provide actionable prognostic information to maintenance personnel for forecasting parts replacement and to extend existing service intervals associated with the DC starter/generator. Historical maintenance information on the DC machine indicates that worn brushes are the primary source of failure; therefore the focus here is on developing an approach for predicting the remaining useful life of the brushes. The algorithm and implementation of the proposed DC starter/generator PHM approach are each presented in this paper, and the technique is then tested through laboratory experiments performed on the DC starter/generator. The information produced through the PHM approach developed here will allow the maintainer to more efficiently service a larger fleet, help to avoid unexpected failures, and reduce the overall life-cycle cost of the system. Read Article
Prognostics: Call for PapersPrognostics journal welcomes original papers and topical contributions in multidisciplinary research on prognostics, diagnostics, management, and control of technical systems, bio- and socio-technical systems, as well as social formations and processes. Prognostics journal has a large number of active, experienced reviewers and excels at placing quality publications into the public domain in short periods of time. If you have unique work ready for peer-review, the editors of Prognostics would like to have the opportunity to be your publishing platform. All submissions are subject to the journal's highest quality double-blind peer review process. Accepted papers are published electronically in the current issue and freely available to read and download globally. To submit a manuscript click here.
Prognostics Topics: Applications
  • Advancing aerospace and military systems
  • Towards intelligent automotive electronics. Telematics
  • Structural health of individual structures
  • Nondestructive testing and evaluation
  • Manufacturing process, equipment proactive maintenance
  • Electronic prognostics in computer and device networks
  • Cloud computing. Delivering computing commodity
  • Nuclear power. Electrical grid
  • Oil and gas remote monitoring and diagnostics
  • Medical equipment and biodevices. Modern healthcare
  • Wearable sensors and systems. Telemedicine
  • Social networks dynamics
Prognostics Topics: Enabling Technologies & Research
  • Fleet and individualized real-time reliability and availability
  • Prediction of the remaining useful life
  • Logic, algorithms, and reasoning
  • Condition-based maintenance, predictive maintenance
  • Diagnosis and fault isolation methods
  • Fault tolerant and dependable operation and systems
  • Data-driven and model-based prognostics
  • Sensor networks and detector technologies
  • Numerical modeling and methods
  • Knowledge systems and Big data mining
  • Non-searching, adaptive control methods
  • Financial benefit and return on investment
Prognostics Editorial Team
  • Datong Liu, Harbin Institute of Technology, China
  • Scott Evans, GE Global Research, USA
  • Kyle Ferrio, Ridgetop Group, USA
  • Sreevidya Khatravath, Indian Institute of Technology, India
  • Benjamin Lamoureux, SAFRAN/Snecma – ParisTech, France
  • Ryan Meyer, Pacific Northwest National Laboratory, USA
  • Andreas Middendorf, Fraunhoher IZM, Germany
  • Andrei Volov, Institue of Physics and Power Engineering, Russia
  • Aleksey Urmanov, Oracle, USA
  • Pingfeng Wang, Wichita State University, USA
  • Wenyu Zhao, Univercity of Cincinnati, USA
  • Zili Wang, Beihang University, China
Invitation: Prognostics Associate Editors for 2014Prognostics welcomes motivated talents, scholars, and industry experts in technical, social, and business fields to voluntarily lend their expertise, efforts, and passion into the global Prognostics community by assisting in the editorial review process for Prognostics. The Associate Editor has a very important role in evaluating manuscripts, coordinating the review of manuscripts, identifying expert referees, and in shaping up the papers into publishable form. Prospective editorial candidates must contact Prognostics and provide their curriculum vitae to confirm expertise in the Prognostics domain. To apply, please send a cover letter and your CV to .
Vol 2, No 1 (2014)
Systems Prognostics
Prognostic Health Management of the DC Starter/Generator 1-16
Prognostic Health Management (PHM) and condition monitoring are often used in aerospace applications to provide comprehensive assessment of system health and to detect performance degradation for safety critical and maintenance intensive systems.
PJ Vol 2, No 1 (2014); doi:10.13176/12.542
Improving Aircraft Engines Prognostics and Health Management via Anticipated Model-Based Validation of Health Indicators 18-38
The aircraft engines manufacturing industry is subjected to many dependability constraints from certification authorities and economic background.
PJ Vol 2, No 1 (2014); doi:10.13176/12.541
Verification and Validation of Prognostic and Health Management 17-17
PJ Vol 2, No 1 (2014); doi:10.13176/12.538
Vol 1, No 1 (2013)