background: monitoring of indicator and pathogenic microorganisms is essential for proper composting. the aim of this study was to evaluate the change in population of coliform bacteria and salmonella spp. in composting process of municipal wastes and after its application on soil. methods: the samples were taken from each raw waste pile, initial pile, and active phase pile, cooling phase pile ...

the most well-known uni-arribute control chart used to monitor the number of nonconformities per unit is the shewhart type c-chart. in this paper, a new method is proposed in an attempt to reduce the false alarm rate in the c-chart. to do this, the decision on beliefs (dob) concept is first uti [1] corresponding author e-mail: [email protected]   lized to design an iterat...

Dynamic statistical process monitoring methods have been widely studied and applied in modern industrial processes. These aim to extract the most predictable temporal information develop corresponding dynamic schemes. However, measurement noise is widespread real-world processes, ignoring its effect will lead suboptimal modeling performance. In this article, a probabilistic feature analysis (PP...

A new statistical profile monitoring technique to monitor and detect changes in logistic profiles with an application in the tourism industry is presented in this paper. In the statistical process control literature, profile is usually referred to as a relationship between a response variable and one or more explanatory variables. In the tourism case study presented in this paper, time is consi...

Abstract The task of fault detection is crucial in modern chemical industries for improved product quality and process safety. In this regard, data-driven (FD) strategy based on independent component analysis (ICA) has gained attention since it improves monitoring by capturing non-gaussian features the data. However, presence measurement noise data degrades performance FD masks important inform...