A damage detection problem is cast in the context of a statistical pattern recognition paradigm. In particular, this paper focuses on applying statistical process control methods referred to as "control charts" to vibration-based damage detection. First, an auto-regressive (AR) model is fitted to the measured time histories from an undamaged structure. Residual errors, which quantify the differ...

The manufacture of high-value products involves many different batch processes, for example industrial fermenters. Such processes require high levels of consistency in their operation to ensure minimal losses of raw materials, utilities and product. Recent application studies have indicated that multivariate statistical technology can provide some support when trying to maintain consistent oper...

Batch processes, such as fermenters, generally require high levels of consistency in their operation to ensure minimal losses of raw materials and product. Recent application studies have indicated that multivariate statistical technology can provide some support when trying to maintain consistent operation in complex batch processes. This paper aims to compare four different approaches to batc...

The statistical modeling of social network data needs much effort  because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical characteristics of the network is provided to be encapsulated within an Exponential Random Graph Model (...