Industrial Data Analytics for Diagnosis and Prognosis

[b]Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model [/b][b] [/b] In [i]Industrial Data Analytics for Diagnosis and Prognosis – A Random Effects Modelling Approach[/i], distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book’s two parts, general statistical concepts and useful theory are described and explained, as are industrial diagnosis and prognosis methods. The accomplished authors describe and model fixed effects, random effects, and variation in univar…