Conferences related to Phm System Design

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2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 IEEE 70th Electronic Components and Technology Conference (ECTC)

ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.


2019 IEEE International Conference on Prognostics and Health Management (ICPHM)

Prognostics and Health Management,Diagnostics,Testability,Fault Detection,Non-destructive Evaluation,Condition monitoring,Performance degradation trending

  • 2008 IEEE International Conference on Prognostics and Health Management (PHM)

    PHM 08 is intended for researchers, R&D engineers and managers working in the expanding field of PHM. The primary objective is to foster collaboration and communication between academic, government, and industry PHM communities across the globe. The conference will cover a broad range of research and application topics related to PHM.

  • 2011 IEEE Conference on Prognostics and Health Management (PHM)

    PHM11 is intended for researchers, R&D engineers and managers working in the expanding field of PHM. The primary objective is to foster collaboration and communication between academic, government, and industry PHM communities across the globe. The conference will cover a broad range of research and application topics related to PHM.

  • 2012 IEEE Conference on Prognostics and Health Management (PHM)

    PHM 2012 is intended for researchers, R&D engineers and managers working in the expanding field of PHM. The primary objective is to foster collaboration and communication between academic, government, and industry PHM communities across the globe. The conference will cover a broad range of research and application topics related to PHM.

  • 2013 IEEE Conference on Prognostics and Health Management (PHM)

    PHM2013 is intended for researchers, engineers andmanagers working in the expanding field of PHM. The primary objective is to foster collaboration and communication between academic, government, and industry PHM communities across the globe. The conference will cover a broad range of research andapplication topics related to PHM.

  • 2014 IEEE Conference on Prognostics and Health Management (PHM)

    PHM2013 is intended for researchers, engineers and managers working in theexpanding field of PHM. The primary objective is to foster collaboration and communication betweenacademic, government, and industry PHM communities across the globe. The conference will cover a broadrange of research and application topics related to PHM.

  • 2015 IEEE Conference on Prognostics and Health Management (PHM)

    PHM2015 is intended for researchers, engineers and managers working in the expanding field of PHM. The primary objective is to foster collaboration and communication between academic, government, and industry PHM communities across the globe. The conference will cover a broad range of research and application topics related to PHM.

  • 2016 IEEE International Conference on Prognostics and Health Management (ICPHM)

    PHM2016 is intended for researchers, engineers and managers working in theexpanding field of PHM. The primary objective is to foster collaboration and communication betweenacademic, government, and industry PHM communities across the globe. The conference will cover a broadrange of research and application topics related to PHM.

  • 2017 IEEE International Conference on Prognostics and Health Management (ICPHM)

    PHM2017 is intended for researchers, engineers and managers working in theexpanding field of PHM. The primary objective is to foster collaboration and communication betweenacademic, government, and industry PHM communities across the globe. The conference will cover a broadrange of research and application topics related to PHM.

  • 2018 IEEE International Conference on Prognostics and Health Management (ICPHM)

    Prognostics and Health Management,Diagnostics,Testability,Fault Detection,Non-destructive Evaluation,Condition monitoring,Performance degradation trending


2019 Joint Conference of the IEEE International Frequency Control Symposium anEuropean Frequency and Time Forum (EFTF/IFC)

The 33RD European Frequency and Time Forum and the 73rd consecutive meeting of the IEEE International Frequency Control Symposium will be held as a joint conference in Orlando, Florida, USA April 14-18, 2019. The conference will provide information on recent advances and trends on scientific research, development and manufacturing technology in the area of frequency and time and frequency control. A technical exhibition will be held during the conference, which will be hosted at the Caribe Royale Hotel and Convention Center.


2019 Prognostics and System Health Management Conference (PHM-Paris)

PHM-Paris serves as a premier interdisciplinary forum for researchers, scientists, and scholars in the domains of PHM for aeronautics and astronautics, energy and power systems, process industries, computers and telecommunications, and industrial automation. The most recent innovations, trends, concerns, challenges, and solutions will be presented and discussed.



Periodicals related to Phm System Design

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Device and Materials Reliability, IEEE Transactions on

Provides leading edge information that is critical to the creation of reliable electronic devices and materials, and a focus for interdisciplinary communication in the state of the art of reliability of electronic devices, and the materials used in their manufacture. It focuses on the reliability of electronic, optical, and magnetic devices, and microsystems; the materials and processes used in the ...


Electron Devices, IEEE Transactions on

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.



Most published Xplore authors for Phm System Design

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Xplore Articles related to Phm System Design

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Research on the degradation mechanisms and finite element modeling of accelerometers

2011 Prognostics and System Health Managment Confernece, 2011

The degradation mechanisms and causes of performance parameters of quartz flexible accelerometer were analyzed in this paper, and the table of accelerometers' parametric degradation mechanisms and reason analysis (PDMRA) was made. On the basis of PDMRA, the weak links of accelerometers were analyzed, and the influence of varying external environment stress with time on accelerometers was studied, the degradation mechanisms ...


PHM framework design based on data warehouse

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing), 2012

Data warehouse (DW) has experienced tremendous growth in recent decades. It has been applied so widely that gradually become the core of business intelligence (BI), and at the same time, in a relatively short period of time, DW starts to play an important role in the prognostics and health management (PHM) system owing to the advantages of improved performance, better ...


Connotation of failure mechanism consistency and identification method for accelerated testing

2011 Prognostics and System Health Managment Confernece, 2011

Failure mechanism consistency means products failure mechanisms maintain unchanged at different stress levels, which is essential for estimated lives conversion between different stresses. In engineering, it is very popular to derive usage life from high stress accelerated tests for long life products, and identification of failure mechanism consistency is a key approach to solve this problem. In this paper, connotation ...


Inertial platform systems parameters degradation finite element modeling

2011 Prognostics and System Health Managment Confernece, 2011

The degradation of bearing preload and the creep of magnetic steel properties are the main degradation causes of inertial platform systems heading sensitive drift, gyroscopes installation error and other system parameters in the long- term storage conditions. Combining the bearing preload theory and magnetic steel properties creep law of inertial platform systems under poor environmental interference and long-term storage stress, ...


Parameter mapping method for Large Commercial Aircraft PHM system joint design

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing), 2012

During the Large Commercial Aircraft development process through the form of “Manufacturer-Supplier” model, the aircraft design work is allocated to multiple systems and sub-systems down to single equipment and component. This leads to the challenges in the joint design of aircraft PHM system. It is particularly difficult to coordinate between the data and model. Considering the real needs in the ...



Educational Resources on Phm System Design

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IEEE.tv Videos

IMS 2012 Microapps - RF System Design: Moving Beyond a Linear Datasheet
Brooklyn 5G Summit: Critical Modeling Aspects and Their Effect on System Design and Performance
Receiver Design and Analysis: RF Boot Camp
PA Design: RF Boot Camp
Micro-Apps 2013: Class F Power Amplifier Design, Including System-to-Circuit-to-EM Simulation
APEC Speaker Highlights - Doug Hopkins, University of Buffalo, Power Electronics/Smart-Grid
ICASSP 2011 Trends in Design and Implementation of Signal Processing Systems
Brooklyn 5G Summit 2014: Erik Starkloff on Platform Approach to Design
Design Considerations for Wideband Envelope Tracking Power Amplifiers
Brooklyn 5G Summit: Critical Modeling Aspects and Their Effect on System Design and Performance Panel
IEEE WEBINAR SERIES-April 2, 2014 - Understanding Mosfet Parameters: We Do Need Even More Footnotes in Mosfet Datasheets
IMPASS: Intelligent Mobility Platform with Active Spoke System
Rollin' Justin -- Mobile Platform with Variable Base
WIRELESS TRANSCEIVER SYSTEM DESIGN FOR MODERN COMMUNICATION STANDARDS
Micro-Apps 2013: Design and Simulation of Phased Arrays in VSS
SDRJ: Small to Large Scale Quantum Computational Systems - Kae Nemoto at INC 2019
Panel 1: Critical Modeling Aspects & Effects on System Design & Performance - Brooklyn 5G 2015
Brooklyn 5G - 2015 - Dr. Amitabha Ghosh & Dr. Timothy A. Thomas - 5G Channel Modeling from 6 to 100 GHz: Critical Modeling Aspects and Their Effect on System Design and Performance
Design of Monolithic Silicon-Based Envelope-Tracking Power Amplifiers for Broadband Wireless Applications
Neural Processor Design Enabled by Memristor Technology - Hai Li: 2016 International Conference on Rebooting Computing

IEEE-USA E-Books

  • Research on the degradation mechanisms and finite element modeling of accelerometers

    The degradation mechanisms and causes of performance parameters of quartz flexible accelerometer were analyzed in this paper, and the table of accelerometers' parametric degradation mechanisms and reason analysis (PDMRA) was made. On the basis of PDMRA, the weak links of accelerometers were analyzed, and the influence of varying external environment stress with time on accelerometers was studied, the degradation mechanisms and the corresponding locations in accelerometers were identified. Then the finite element modeling of accelerometers were established, and the algorithm processes of transient magneto-structural coupled simulation under different temperature stresses were given. Then according to the data of finite element simulation, the degradation model of accelerometers' parameters was made. Finally, the data of accelerometer in storage condition was collected to test the degradation mechanisms model. The compared result shows that the trend of the above data which obtained from storage testing and the model was consistent. The result of this study will provide the foundation for PHM system design based on model method.

  • PHM framework design based on data warehouse

    Data warehouse (DW) has experienced tremendous growth in recent decades. It has been applied so widely that gradually become the core of business intelligence (BI), and at the same time, in a relatively short period of time, DW starts to play an important role in the prognostics and health management (PHM) system owing to the advantages of improved performance, better data quality, and the ability to consolidate and summarize data from heterogeneous legacy systems. This paper presents a framework for the development of PHM system based on data warehouse different from traditional data warehouse. The historical data is used by data mining technique to discover regularities and improve current operating health assessment of equipments, so the further decision support can be generated by the advisory system in real time. Self- adaptive means system can achieve feedback of data feature, according to the frequency of fault, the result of equipments maintenance and the requirement of decision-makers, then rationally adjust the extraction of historical data in the DW to improve efficiency and accuracy. This architecture covers all the phases of PHM offboard system design (conceptual, logical and physical) and combines with data management technology and Machinery Information Management Open Systems Alliance (MIMOSA) standards in all of them. Moreover, DW is clearly and formally established by using operational data store, on-line analytical processing and data mining to obtain more effective maintenance identification and scheduling from the early stages of development to the final implementation. The final goal of the work is to suggest an improved methodology for potential users of the data warehouse in their Off-board PHM system design process.

  • Connotation of failure mechanism consistency and identification method for accelerated testing

    Failure mechanism consistency means products failure mechanisms maintain unchanged at different stress levels, which is essential for estimated lives conversion between different stresses. In engineering, it is very popular to derive usage life from high stress accelerated tests for long life products, and identification of failure mechanism consistency is a key approach to solve this problem. In this paper, connotation and the identification methods of failure mechanism consistency are introduced and other related problems are discussed. The conclusion of this paper can provide a theoretical foundation for the modeling and validation of PoF in PHM system design.

  • Inertial platform systems parameters degradation finite element modeling

    The degradation of bearing preload and the creep of magnetic steel properties are the main degradation causes of inertial platform systems heading sensitive drift, gyroscopes installation error and other system parameters in the long- term storage conditions. Combining the bearing preload theory and magnetic steel properties creep law of inertial platform systems under poor environmental interference and long-term storage stress, a finite element modeling method of inertial platform systems bearing preload and magnetic steel properties creep law are presented respectively, after the complexity structure of the inertial platform systems components is appropriately simplified. Then, a integrated inertial platform systems finite element model (FEM) is obtained synthetically. The long-term stability of the degradation parameters is analyzed based on different FEMs. The result shows that the two FEMs can properly described the influence of bearing preload and magnetic steel properties creep on inertial platform systems heading sensitive drift, gyroscopes installation error and other system parameters, and reflect the degradation mechanism of inertial platform systems parameters. The long-term drift of bearing preload and magnetic steel properties creep can affect the parameter accuracy and stability of inertial platform systems. This study has great significance to the model-based PHM system design of inertial platform systems, which aims at improving the inertial platform systems parameters degradation stability.

  • Parameter mapping method for Large Commercial Aircraft PHM system joint design

    During the Large Commercial Aircraft development process through the form of “Manufacturer-Supplier” model, the aircraft design work is allocated to multiple systems and sub-systems down to single equipment and component. This leads to the challenges in the joint design of aircraft PHM system. It is particularly difficult to coordinate between the data and model. Considering the real needs in the optimization of the aircraft PHM system design, this paper describes the establishment of the parameter coupling model between the PHM system and the contributing system (including the sub-system, equipment and components) through the concept of integration. Meanwhile on the basis of the model, the parameter mapping (including parameter identification, demonstration and transfer) among the PHM system and each contributing system, sub-system, equipment and components can be realized through the object- oriented method, so that the effective control of the data collection, transfer, calculation and storage can be achieved. The significant benefit in ensuring sufficient coordination, increasing system design efficiency and quality during the aircraft PHM system joint design is verified in this paper through the investigation of real-world application.

  • Health management system design: Development, simulation and cost/benefit optimization

    Provides an update to the developments associated with a prognostics and health management (PHM) system design tool that integrates a model-based FMECA methodology with state-of-the-art system simulation directly linked to downstream life cycle costs (LCC). This design tool will seek out recommended PHM system designs based on a cost function that accurately represents key LCC variables such as system availability, maintainability, reliability, and failure mode observability. The tool will be capable of assessing PHM sensor requirement specifications at the component and subsystem levels, and will then allow for integration into a broader integrated system model. Tradeoff, sensitivity and "what if" analysis will then allow the designer/user to examine the cost/benefit relationship of either adding or removing sensor and algorithms under consideration for the PHM design. A simplified example of a health management system cost/benefit analysis on an aircraft electromechanical valve is provided for illustration of the concepts introduced.

  • Robust ground-based Diagnostics, Prognostics and Health Management information

    A decade ago, (1998, 1999), Joint Strike Fighter (JSF) F-100 engine seeded fault testing was conducted at Pratt & Whitney, Florida, in support of Diagnostics, Prognostics and Health Management (PHM) system design. Multiple sensor approaches were invited to monitor the seeded fault testing, including an Independent Research and Development (IR&D) system termed the robust laser interferometer (RLI). The "then" RLI provided a non-contact, wideband (0 to 260 kHz), large dynamic range (180 dB demonstrated in acceleration) physical measurement capability, with output information displayed in time series or spectrum formats for displacement, velocity or acceleration. In particular, the IR&D RLI was offered the opportunity to make line-of-sight vibration measurements, as a referee sensor, during the testing effort. The robustness and quality of the RLI measurements have been documented, including at various IEEE AeroConf Meetings over the past decade. At the time of the testing, it was strongly suggested that the prudent evolution for the RLI technology would include both "point-and-shoot" and fiber-optic ground-based systems prior to pursuit of "flyable" fiber-optic diagnostics and PHM capabilities. That the RLI was not immediately accepted as a 'flyable component' of the JSF PHM was quite reasonable. In the interim, it is suggested that the continued evolution of the RLI technology provides a meaningful baseline for development of a robust, ground-based diagnostics and PHM information tool-set. Advances in technology and progress in related knowledge development are being investigated, along with the core earlier findings for supporting advanced aviation PHM. This includes ground-based (near term) capabilities.

  • Auto-generating model-based reasoners through dynamic simulation

    In recent years, a significant focus has been placed on the development and implementation of advanced prognostic and health management (PHM) technologies for air vehicles both in military and industrial applications. The term PHM encompasses anomaly, diagnostic and prognostic algorithms as well as higher level reasoning algorithms for isolating root causes of faults/failures and directing optimal operational or maintenance actions. In such systems, two current deficiencies exist. First, for a variety of reasons, component and subsystem interactions in such systems are poorly realized. The issue manifests itself as multiple dependent "boxes" indicating faults with shotgun tests or valuable domain expertise required to de-conflict and reduce ambiguity groups. Secondly, complex systems still largely rely on expert rule- bases for reasoning which are notoriously difficult to maintain over a life cycle and are prone to logical conflicts. This paper begins to address these deficiencies by outlining a simulation-based process for assisting the user in: 1) realizing complex system interactions for optimal PHM system design; and 2) building and maintaining model-based reasoning architectures where decisions and conclusions naturally precipitate out of a more manageable system dependency model. Concepts are reinforced and demonstrated with a Matlab/Simulink example of a complex dynamic system and an analysis test bench for reporting system wide dependencies, fault propagation and consolidated model-based reasoning architectures



Standards related to Phm System Design

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No standards are currently tagged "Phm System Design"