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Reliability Prediction

Reliability Prediction

$99.00

Reliability Prediction is the practice of estimating the product or system reliability for the purpose of tracking the progress toward meeting reliability objectives; the practice is useful in identifying areas that require improvement. This module covers both “empirical” handbook methods and “deterministic” physics of failure approaches to reliability prediction. Several common prediction data sources are reviewed and the differences between several of the models are also discussed. The topics include:

  • Prediction Metrics
  • Common Handbook Methods (MIL-HDBK-217F/Telcordia SR332/RIAC 217Plus)
  • Reliability Data Sources(Nonelectronic Parts Reliability Data (NPRD)/Electronic Parts Reliability Data (EPRD)/Handbook of Reliability Prediction Procedures for Mechanical Equipment (NSWC-11))
  • Physics of Failure Methods

This video is offered for an unlimited number of views during a three-month subscription period and can be viewed on any browser-enabled device.

SKU: VTRNG-PREDICTION Category:

Product Description

Quanterion offers a series of online video training short courses called Introduction to Reliability Engineering. The online video series aims to take some of the mystery out of common reliability terms, tools, techniques, and approaches. The series draws from Quanterion’s popular in-person Introduction to Reliability training course “Reliability 101” that has been presented world-wide for more than ten years.

The series covers several sets of topics in Reliability, seven having approximately a 1.5 hours of instructor narrated video, plus one more extensive topic, “Reliability Centered Maintenance,” which has 3.5 hours of content. The complete set of eight videos contains nearly 15 hours of instruction. A convenient navigation menu provides a means of repeating sections or skipping over previously viewed sections.

This video is offered for an unlimited number of views during a three-month subscription period and can be viewed on any browser-enabled device.

Additional information

Run Time

1 hour 42 minutes

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