2 edition of Qualitative model-based diagnostics for rocket systems found in the catalog.
Qualitative model-based diagnostics for rocket systems
by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va
Written in English
|Statement||William Maul ... [et al.].|
|Series||NASA technical memorandum -- 106234.|
|Contributions||United States. National Aeronautics and Space Administration.|
|The Physical Object|
Model-Based Design Approach for Automotive Applications. R. K. Shenoy, Robert Bosch Engineering and Business Solutions Limited. Automotive electronics have gained very high significance over the past three decades. This system operates by sensing the relevant environment, computing the necessary action, and executing the action by actuating a. When it comes to Reliability and Maintainability (R&M), the public and private sectors’ objectives appear to be aligned. The theme for the annual R&M Symposium (RAMS) — a conference focused on the latest technical practices and procedures presented through technical papers and tutorials — was, “R&M in a Model-Based Systems Engineering Environment.”.
The PHM Group conducts research and development of prognostics and health management applications for electronic products and systems, as well as systems-of-systems. The research focuses on computational algorithms, advanced sensors and data collection techniques, condition-based maintenance, PHM for the application of in-situ diagnostics and. Systematic testing of software plays an important role in the quest for improved software quality. Testing, however, turns out to be an error-prone, expensive, and time-consuming process. Model based testing is one of the promising technologies to meet the challenges imposed on software testing. In model-based testing a system under test (SUT) is tested against .
Their book, Model Based Software Testing and Analysis with C#, was recently published by Cambridge University Press whom provided to InfoQ Chapter 1, . A combined diagnosis system design using model-based and data-driven methods Daniel Jung, Kok Yew Ng, Erik Frisk, and Mattias Krysander Abstract—A hybrid diagnosis system design is proposed that combines model-based and data-driven diagnosis methods for fault isolation. A set of residuals are used to detect if there is.
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Qualitative Model-Based Diagnostics for Rocket Systems William Maui and Claudia Meyer Sverdrup Technology, inc Lewis Research Center Group Brook Park, OH Amy Jankovsky NASA Lewis Research Center Cleveland, OH Christopher Fulton Anaiex Corporation Brook Park, OH Abstract.
Qualitative Model-Based Diagnostics for Rocket Systems William Maul and Claudia Meyer Sverdrup Technology, Inc Lewis Research Center Group BrookPark, OH Amy Jankovsky NASA Lewis Research Center Cleveland, OH Christopher Fulton Analex Corporation Brook Park, OH Abstract A diagnostic software package is currently being.
Get this from a library. Qualitative model-based diagnostics for rocket systems. [United States. National Aeronautics and Space Administration.;]. qualitative model-based diagnostic techniques can be applied to space propulsion systems. Qualitative models have been a subject of research in artificial intelligence for many years.
They are well- suited to automated diagnostics, and several such diagnostic applications have already been developed for. A Qualitative Event-based Approach to Multiple Fault Diagnosis in Continuous Systems using Structural Model Decomposition M.
Daigle, A. Bregon, X. Koutsoukos, G. Biswas, and B. Pulido, Engineering Applications of Artificial Intelligence, Vol. 53,August In this paper the state of the Qualitative model-based diagnostics for rocket systems book of model-based fault diagnosis in plants of automatic control systems is reviewed and some new results of the author's research group are outlined.
Attention is focused upon both the analytical approach that makes use of quantitative mathematical models and the knowledge-based approach using qualitative models Cited by: the system, it provides a suitable framework for model-based diagnostics and prognostics algorithms. We apply a model-based diagnostic approach to the system using a combined qualitative-quantitative diagnosis method-ology based on the approach of .
Deviations in measured values from model-predicted values are compared to qualita-File Size: KB. a suitable framework for model-based diagnostics and prog-nostics algorithms. We apply a model-based diagnostic approach to the system using a combined qualitative-quantitative fault isolation and identiﬁcation methodology .
Deviations in measured val-ues from model-predicted values imply the presence of faults,Cited by: 9. This paper deals with the effect of using a threshold level in qualitative model based fault diagnosis algorithm. By introducing the concept of α-consistency, a fault diagnosis algorithm is presented in this paper.
In this method for each measured input and output signal, a measure of consistency is computed for each fault. If this measure is less than a threshold level α, then the observed Cited by: 7. Journal of Aerospace Information Systems; Journal of Air Transportation; Journal of Aircraft; Journal of Guidance, Control, and Dynamics Qualitative model-based diagnostics for rocket systems.
WILLIAM MAUL, CLAUDIA MEYER, A retrospective on early cryogenic primary rocket subsystem designs as integrated into rocket-based combined-cycle. Progress in development of the physics model based diagnostic and prognostic system for solid rocket motors (SRMs) of the new generation of the crew exploration vehicles is reported.
The performance model (PM) of the internal ballistics of large segmented SRMs in the regime of steady burning in the presence of the case breach fault is presented.
Model-based Diagnostics: Design-based vs. Empirical-based the accumulation of symptomatic knowledge from fielded systems, Empirical-based diagnostics are theoretically able to get “smarter” over time.
The allure of a diagnostic model that can learn to overcome its. daigle et al.: qualit a tive event-based approach to continuous systems dia gnosis Deﬁnition A diagnoser for a fault set is a tuple, where is a set of states, is an.
Model-Based Diagnostics and Prognostics for Solid Rocket Motors Dmitry G. Luchinsky 1, Viatcheslav V. Osipov 2, Vadim N. Smelyanskiy 3, A. Patterson-Hine 4, Ben Hayashida 5, Michael Watson 6, Joshua McMillin 7, David Shook 8, Mont Johnson 9, Scott Hyde 10 1,2 Mission Critical Technologies Inc., Rosecrans Ave.
Suite El Segundo, CA [email protected] A prototype expert system, called MODEX, for locating the cause(s) of a set of abnormalities in a chemical process id described. We discuss a methodology that aids the developement of expert systems which are process-independent, transparent in their reasoning, and capable of diagnosing a wide diversity of by: Model-based fault diagnosis in technical processes Article in Transactions of the Institute of Measurement and Control 22(1) March with Reads How we measure 'reads'.
Abstract: Model-based diagnosis enables e cient and safe operation of engineered systems. In this paper, we describe two algorithms based on a qualitative event-based fault isolation framework augmented with model-based fault identi cation that are applied to spacecraft power distribution systems.
This book teaches model-based analysis and model-based testing: new ways to write and analyze software specifications and designs, generate test cases, and check the results of test runs.
The methods increase the automation in each of these activities, so they can be more timely, more thorough, and (we expect) more by: Readers can also apply the methods in analyzing and testing systems in many other languages and frameworks. Intended for professional software developers including testers, and for university students, this book is suitable for courses on software engineering, testing, Cited by: A large amount of knowledge on model-based fault diagnosis has been ac cumulated through the literature since the beginning of the s.
However, publications are scattered over many papers and a few edited books. Up to the end ofthere is no any book. under normal and abnormal conditions. As systems become large-scale and more complex, their automated diagnosis becomes more challenging.
Model Based Diagnosis (MBD) is an artiﬁcial intelligence based approach that aims to cope with the diagnosis problem (Reiter, ; de Kleer & Williams, ).
In MBD, a model of the system is ﬁrst built.systems on time and within budget. 6. The information in this handbook reflects both the move to incorporate commercial practices and the lessons learned over many years of acquiring weapon systems "by the book." When appropriate, commercial standards are cited herein for .AI Communications - Vol issue Generating on‐board diagnostics of dynamic automotive systems based on qualitative modelsThis work was partially supported by the European Commission, DG XII (project BE 95/, ‘VMBD’).
This algorithm combines qualitative model‐based diagnosis and observation. The main idea is to.