Overview

This is an introduction by the author that explains how to use PHM technology's prognostic analysis to create and process telemetry and use proprietary predictive algorithms as part of a PHM program and it includes an explanation why probability analysis should no longer be used to quantify spacecraft equipment and space 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, but in certainty The author includes an explanation of the prognostics and health management (PHM) technology and some of the complex tools and concepts he develop for a successful prognostics and health management (PHM) program that was used by the author to predict satellite subsystem and navigation payload equipment failures with 100% certainty, The author includes examples of the author's results from using a prognostic analysis on equipment telemetry from spacecraft such as GPS MEO satellites, NASA LEO satellites and commercial, geostationary satellites and on the United Technologies/air Force Titan, General Dynamics Atlas E/F and Aerospaciale's Ariane launch vehicles. The PHM predictive algorithms discussed are proprietary and not included, but their use and and functionality is well described. PHM technology requires a significant background in the following areas to understand the concepts of PHM including high level mathematical analysis, fixed power electrical circuit design and test, mechanical assembly design and test, orbital mechanics, probability reliability analysis, space systems engineering, aerospace engineering, predictive science, RF and digital communications science and analog and digital signal processing. This book can be used in conjunction with the author's several other books he authored about using PHM technology to other industries to stop the premature failures of equipment and products, reducing or eliminating product returns, lowering production costs while increasing product lines profit margins.

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9781540645883

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The author is an award winning spacecraft designer from Boeing and the U.S. Air Force for his technical contributions and leadership that led to the funding the Air Force's GPS program by the DoD and the design of the next 40 Boeing GPS satellites 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 identify the presence of premature aging in equipment's analog telemetry and determine remaining usable life at the factory, on the launch pad and on on-orbit, and, on General Dynamics Atlas E/F launch vehicles that launched GPS satellites into a 63 degree inclination, 12 hour circular orbit beginning in 1979. The author published his first paper on PHM and his 2 year prognostic analysis of the NASA/U.C. Berkeley EUVE space science satellite at the 1996 and 1997 International Telemetry Conference in Las Vegas, Nevada and at the AIAA Small Satellite Conference in Logan Utah and in 2 books and over 25 technical papers at other technical conferences. As the NASA GOES Next Spacecraft Manager, the author was responsible for the design, manufacture and test of 10 NASA $300M GOES Next satellites. The author was also the United Technologies/U.S. Air Force Titan 34D, Boeing IUS solid rocket motor Test Manager. As the Program Manager for the NASA EUVE LEO space science program at U.C. Berkeley, the author completed a prognostic analysis on 3 years of on-orbit telemetry from the EUVE low earth orbiting satellite in 1995. The results were published with Lockheed-Martin's reliability engineers from the Advanced Development Center in Sunnyvale CA for use on the Navy Trident D5 ICBMs. As a spacecraft TC&R/TT&C/C&DH 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 at contract award. The author also embedded predictive algorithms in Force/Motorola Computers telecommunications industry NEBS and ETSI tested, PTSN servers for companies such as Verizon, AT&T and Lucent Technologies to meet the telecommunication's industry required 99.999% equipment availability.

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