Using Telemetry Science, An Adaptation of Prognostic Algorithms for Predicting Normal Space Vehicle Telemetry Behavior from Space for Earth and Lunar Satellites and Interplanetary Spacecraft
Affiliation
Failure AnalysisIssue Date
2009-10Keywords
Telemetrytest data
prognostic
diagnostic
failure analysis
data analysis
Fourier analysis
spectral analysis
spectrum analysis
communications sciencetelemetry sciencesignals
Metadata
Show full item recordRights
Copyright © held by the author; distribution rights International Foundation for TelemeteringCollection Information
Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.Abstract
Prognostic technology uses a series of algorithms, combined forms a prognostic-based inference engine (PBIE) for the identification of deterministic behavior embedded in completely normal appearing telemetry from fully functional equipment. The algorithms used to define normal behavior in the PBIE from which deterministic behavior is identified can be adapted to quantify normal spacecraft telemetry behavior while in orbit about a moon or planet or during interplanetary travel. Time-series analog engineering data (telemetry) from orbiting satellites and interplanetary spacecraft are defined by harmonic and non-harmonic influences which shape it behavior. Spectrum analysis can be used to understand and quantify the fundamental behavior of spacecraft analog telemetry and relate the behavior's frequency and phase to its time-series behavior through Fourier analysis.Sponsors
International Foundation for TelemeteringISSN
0884-51230074-9079
Additional Links
http://www.telemetry.org/Related items
Showing items related by title, author, creator and subject.
-
The MindMine Comment Analysis Tool for Collaborative Attitude Solicitation, Analysis, Sense-Making and VisualizationThis paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.
-
Mission Analysis and Reporting System (MARS) - EW Analysis and Reporting On A Personal ComputerIn response to the need to analyze and report upon Electronic Warfare (EW) test data results in a comprehensive and uniform manner, the Mission Analysis and Reporting System (MARS) has been developed. MARS is a government owned PC based Windows application designed for rapid analysis and reporting upon EW test mission data. MARS currently performs Jammer Effectiveness ( Reduction In Lethality, Increase In Survivability, Reduction In Shot, and Reduction In Hit), Radar Warning Receiver (RWR) System performance (Threat ID, Response Time/Ageout, and Direction Finding (DF) Accuracy), and Tracking Error Statistics. Additionally, MARS produces several graphical outputs including polar plotting, dynamic strip charting, Cumulative Distribution Functions (CDF), and RWR Simulated Scope. Continual development and maintenance of MARS at the Air Force Development Test Center, Eglin Air Force Base, Florida, has provided a proven product used by numerous DT&E and OT&E test projects over the last four years.
-
Participant Roles in Aggression: Analysis of the Overt and Relational Aggression Participant Role Scales with Confirmatory Factor AnalysisThe peer group is a dynamic context within which children and adolescents have a wide range of experiences, both positive and negative. Friendships provide support and a sense of belonging; however, friendships can also be contexts within which competition and aggression occur. During childhood and adolescence, aggression and victimization are likely to occur in the school context and in situations where several members of the peer group are present and sometimes actively (or passively) participating. In the seminal work related to bullying as a group process, Salmivalli and colleagues identified distinct roles that children take when enacting aggression (Salmivalli et al., 1996). Salmivalli's work, in the area of participant roles, however, has focused on overt bullying, a specific subtype of aggression which has a specific meaning within the peer relations literature. To date, the participant roles have not been measured within the context of overt and relational aggression. The purpose of the present study is to examine the psychometric properties of the Overt Aggression Participant Role Scale (OAPRS) and the Relational Aggression Participant Role Scale (RAPRS), two new scales designed by the author, to measure the aggressor, assistant, reinforcer, defender, outsider, and victim roles during acts aggression, as opposed to bullying. Additional goals include: 1) exploring the associations among the roles, 2) examining measurement equivalence across gender and grade level, and 3) exploring associations of the participant roles with measures of sociometric status and depressive symptoms. Findings point toward the psychometric properties of the two scales being quite robust. The data fit the 12 factor model and the scales measure the constructs equivalently across gender and three grade groups. The aggressor, assistant, and reinforcer roles were strongly associated as were the aggressor and victim roles. Several relational roles were highly overlapping, suggesting reciprocity of roles. Few meaningful gender or grade level differences were found resulting in more similarity in the overt and relational roles than differences. The outsider role was the only role not associated with depressive symptoms. Implications for prevention and intervention are discussed.
