Make Getting to Space and Working in Space Safe Using PHM to Identify Premature Aging in Spacecraft Telemetry - Softcover

Losik Ph.D, Len

Softcover

ISBN 10: 1540319598 ISBN 13: 9781540319593

Verlag: CreateSpace Independent Publishing Platform, 2016

Inhaltsangabe

This is a users guide that includes an explanation why probability analysis should no longer be used to quantify spacecraft equipment reliability and vehicle reliability in probabilistic values, which is wrong, since equipment failures are not random, instantaneous nor memory-less as is required to use probability analysis. The author includes an explanation of prognostics and health management program and some of the complex tools and concepts to develop a successful prognostics and health management (PHM) technology used by the author to predict equipment and/or products failures with 100% certainty, The author includes many examples of the author's results on spacecraft such as GPS satellites, NASA satellites and commercial, geostationary satellites and on the Titan, Atlas F and Ariane launch vehicles. The algorithms discussed are proprietary and not included but their use and and functionality is well described. The material requires a significant backgrounds in the following areas to understand the concepts of PHM including mathematical analysis, electrical circuit design, mechanical assembly design, orbital mechanics, probability reliability analysis, space systems design, aerospace engineering, predictive science, RF and digital communications science and signal processing. This book can also be used in conjunction with the author's other books on PHM technology and how to apply PHM technology to other industries to stop the premature failures of equipment and products, reducing or eliminating product returns, lowering production costs while increasing profit margins

Über diesen Titel

Über die Autorin bzw. den Autor

The author is an award winning spacecraft designer for his technical contributions and leadership that led to the funding the Air Force's GPS program by the DoD as the Boeing GPS Space & Ground Segment Manager. The author has over 30 years of experience in the design, manufacture and test of military, NASA and commercial satellites, ground stations, missiles and launch vehicles as an RF and digital design engineer. The author pioneered the use of predictive algorithms on GPS satellites to illustrate and identify the presence of premature aging in satellite subsystem and payload equipment analog telemetry and determine remaining usable life as the Boeing/Air Force’s GPS Space and Ground Segment Manager on GPS satellites at the factory, launch pad and on on-orbit and on the General Dynamics Atlas E/F launch vehicles used to launch GPS Block I satellites into a 63 degree inclination, 12 hour circular orbit beginning in 1979. The author published his first paper on PHM and included the results from his 2 year prognostic analysis of the NASA/U.C. Berkeley EUVE space science satellite at the International Telemetry Conference held in Las Vegas Nevada in 1996 and 1997 and in 2 books and over 25 technical papers at a wide variety of technical conferences. As the NASA GOES Spacecraft Manager, the author was responsible for the design, manufacture and test of 10 NASA GOES Next I-R satellites. The author was also the Air Force Titan 34D, Boeing IUS solid rocket motor and scramjet Test Manager at United Technologies. As the Program Manager on the NASA EUVE space science program at U.C. Berkeley, the author was requested to complete a prognostic analysis on the on-orbit EUVE low earth orbiting satellite in 1994. The results were published in conjunction with Lockheed-Martin reliability engineers from the Advanced Development Center located in Sunnyvale CA for use on the U.S. Navy Trident D5 ICBM program. As a spacecraft TC&R/TT&C/C&DH subsystem engineer, the author led the design of the first commercial, geostationary C, Ku and Ka-Band communications satellite to have their subsystem equipment usable life measured prior to launch using PHM to identify the equipment that was going to fail prematurely earning a commendation from INTELSAT. The author also embedded predicted algorithms in telecommunications industry NEBS and ETSI, PTSN servers for companies such as Verizon, AT&T and Lucent Technologies to meet the 99.999% availability requirement.

Details zur Ausgabe

• Verlag: CreateSpace Independent Publishing Platform
• Erscheinungsdatum: 2016
• Sprache: Englisch
• ISBN 10: 1540319598
• ISBN 13: 9781540319593
• Einband: Taschenbuch
• Anzahl der Seiten: 202
• Kontakt zum Hersteller: Manufactured by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg