L10 Life (90% reliability) model based on two-parameter Weibull
distribution was introduced by Lundberg-Palmgren in 1947 and
subsequently became a de facto industry standard. But, American
Gear Manufacturers Association is now specifying gearbox with 95%
and higher levels of reliability. A significant barrier to estimate
bearing reliability analytically is the poor current understanding
of the processes of running-in and of the interactions between
plastic deformation, wear, lubricant chemistry and damage
accumulation. For this reason, semi-empirical approach is preferred
and this needs extremely meticulous and time consuming fatigue
experimentation and fault -tolerant experimental apparatus. The
author discusses critical design issues of experimental apparatus,
judicial selection of sensors and fault-tolerant instrumentation,
and robust algorithms for bearing health monitoring. The various
models and estimation methods for predicting bearing reliability
beyond 90% are discussed and compared with standard models. This
book also deals with Artificial Neural Network based incipient
fault detection and residual prediction models for rolling element
bearings.
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