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ATI's Telecommmunications System Reliability Engineering

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    Technical Training Short On Site Course Quote

    System reliability and availability are crucial metrics within all telecommunications fields. Engineers within the telecommunications industry require the ability to quantify these metrics for use in service level agreements, system design decisions and daily operations. Increasing system complexity and software logic require new, more sophisticated tools for system modeling and metric calculation than those available in current literature.
    This four-day course provides the communications engineer the tools to connect abstract systems reliability theory, system topology and computer simulation to predict and measure quantitative statistical performance metrics such as reliability, availability and maintainability.
    Each student will receive a copy of Telecommunications System Reliability Engineering, Theory and Practice in addition to a complete set of lecture notes.


    Mark Ayers has a broad range of telecommunications experience including work in fiber optics, microwave radio and satellite network design.? Mark holds a B.S. degree in Mathematics from the University of Alaska Anchorage and an M.S. degree in Electrical Engineering from the University of Alaska Fairbanks. He is a registered Professional Electrical Engineer in the State of Alaska and a senior member in the IEEE. Mark teaches a variety of courses as an adjunct faculty member in the Engineering Department at the University of Alaska Anchorage and is the author of the textbook Telecommunications System Reliability Engineering, Theory and Practice.

    Contact this instructor (please mention course name in the subject line)

What you will learn:

  • Familiarity with the concepts of reliability and availability as they relate to telecommunications systems.
  • A comprehensive understanding of reliability theory, system analysis techniques and system modeling.
  • Skills and tools necessary to perform complex, detailed analyses using computer simulation techniques.
  • Specific applications of analysis theory to real telecommunications systems.
  • Practical techniques to determine proper sparing levels.
  • How software and firmware impact the overall reliability and availability performance of telecommunications systems. Students taking this course will have a complete grasp of the importance and value of rigorous reliability analysis on a systemís design.
Course Outline
  1. Reliability engineering and its relationship to communications Historical development of reliability engineering as an academic field. Relevance of reliability theory to communications systems, MIL spec, and Bellcore standards.
  2. System reliability metrics Commonly used reliability engineering metrics are discussed. These metrics include reliability, availability, failure rate, MTBF, and MTTR.
  3. Reliability theory and random variables Mathematics associated with reliability and availability models are presented. Statistical distributions and their applicability to TTF and TTR are discussed.
  4. Reliability Block Diagrams Success based networks of elements in serial or parallel. Used for determination of system reliability.
  5. Markov Chain Analysis State based analysis approach for the determination of availability in repairable systems.
  6. Monte Carlo Simulation Analysis technique using computer simulation to compute reliability and availability of an arbitrary configuration of components.
  7. Fiber Optic Networks Terrestrial and submarine systems including path protection and highly available system designs.
  8. Microwave Networks Long-haul, short-haul and local area microwave network reliability and availability are examined in detail including propagation effects and considerations (such as multi-path and rain fade).
  9. Satellite Networks Satellite earth station design and best practices, satellite redundancy considerations and propagation impacts.
  10. Facilities Telecommunications facilities generator systems, commercial power delivery and battery back sizing considerations.
  11. Software and Firmware Models are presented along with consideration for accurate representation of the impact on system performance.


    Tuition for this four-day course is $2045 per person at one of our scheduled public courses. Onsite pricing is available. Please call us at 410-956-8805 or send an email to