Although the probability of failure for the failed turbines is not separated from the population, a feature engineering analysis shows the potential of frictional energy as a damage metric when combined with roller loads, bearing sliding speed, lubricant type, and terrain features. A first-order reliability method is then used to compare the proposed damage metrics to failure threshold functions and calculate the probability of failure of each individual bearing. Both accumulated frictional energy and electrical energy generation are proposed as damage metrics for bearing axial cracking. Furthermore, the physics-domain models predict the bearing loads and sliding velocities, which are the essential elements for quantifying the accumulated frictional energy. The gearbox and bearing design along with operations data and component failure records from a wind power plant provide the input to physics-based models and define axial cracking damage metrics. This approach is mainly a physics-domain method with needed inputs from the data domain.
If you would like to speak to someone regarding ReliaSoft software, training and consultancy services, please contact us.This article describes an interdisciplinary methodology to calculate the probability of failure for bearing axial cracking, the dominant failure mode in the intermediate and high-speed stages of many wind turbine gearboxes. To read more on the above topics or to subscribe to the monthly eMagazine please click here. To learn more, view the training calendar by visiting. We also offer bundling discounts on training and software. If you’re interested in taking multiple ReliaSoft courses and saving on travel time and costs, we offer some courses back-to-back within a week. Start planning ahead for reliability training next year – the 2016 calendar of ReliaSoft public seminar events is now available online for most regions (public events in Asia Pacific and South America will be posted soon).
To learn more about how to submit a proposal, visit: Presentation proposals will now be accepted until December 18, and selected presenters will be notified in early January. If you’re thinking of presenting at the upcoming International Applied Reliability Symposium in San Diego, California (June 21-23, 2016), now is your last chance. Presenter Deadline Extended for ARS North America 2016 Read More Read the Latest Reliability News In this article, we’ll discuss how the new destructive degradation analysis folio introduced in Weibull++ Version 10 can help you analyze such cases and extrapolate an assumed failure time. However, there are cases where direct measurements of degradation is not be possible without invasive or destructive techniques such as the measurement of corrosion in a chemical container, the strength measurement of an adhesive bond, the capacitor breakdown voltage, and a circuit short due to dendrite growth between two parallel copper conductors.
Degradation analysis involves the measurement of performance data that can be directly related to the presumed failure of the product such as the wear of brake pads, the propagation of crack size, and the deterioration of battery voltage. One option to deal with these scenarios is the use of degradation analysis. This Month’s Hot TopicĪs products become more reliable and development times get shorter, testing new designs to failure under normal operating conditions gets more challenging due to time constraints. Reliability HotWire is a monthly eMagazine by ReliaSoft providing information and tips on how to best improve your reliability practices and get the most out of ReliaSoft’s tools for reliability and life data analysis.