reliability-engineering

Software Reliability Engineering in Space Cybersecurity (Tonex Training)

Software Reliability Engineering in Space Cybersecurity (Tonex Training)

Which Professionals Benefit from Reliability Engineering?

Reliability engineers, as well as design engineers, quality engineers, or system and software engineers.

Space Software Reliability Engineering. Aerospace or space engineering is the primary field of engineering concerned with the development of aircraft and spacecraft. There are 2 major and overlapping branches: aeronautical engineering and astronautical engineering. Particularly, Reliability engineering is used to explain the proficiency/ability of any component or system. To meet certain performance standards over a certain period of time, Reliability engineering is widely used.

Space Experts in this field remark that engineering with reliability should be an ongoing process which starts from the conceptual phase of a product design and continues throughout all phases of a product lifecycle. The objective needs to be to identify potential reliability problems.

The objectives of reliable engineering. Why and when to use?

  • To reduce thefrequency of failures.
  • To spot and perform a correction of the causes of failures.
  • To set ways of coping with failures that do occure.
  • Methods for estimating the likely reliability of new designs, and for analyzing reliability data.

Tonex Training offer some great reliability engineering training courses what perfectly cover key topics, like:

  • Strategic Management, Failure Analysis
  • Quality Function Deployment (QFD)
  • Product Life Cycle Engineering
  • Systems Engineering
  • System Safety and Liability
  • Hazard Analysis
  • Design Failure Modes and Effects Analysis — DFMEA
  • Process Failure Modes and Effects Analysis – PFMEA:
  • Failure Mode, Effects, and Criticality Analysis – FMECA
  • FTA – Fault Tree Analysis
  • RBD – Reliability Block Diagram
  • Plenty other

And, Reliability Training instructed by Tonex benefits most engineering specializations including mechanical engineering, electrical engineering and applied statistics.

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