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...

Traditionally, human intervention is required to monitor a business process. Operators notify when manual activities are executed, and manually restart the monitoring whenever the process is not executed as expected. This paper presents mArtifact, an artifact-driven process monitoring platform. mArtifact uses the E-GSM artifact-centric language to represent the process. This way, when a violati...

The upcoming ISO standard EXPRESS has been de-ned as a data speciication language for the use within STEP. EXPRESS supports the modeling of static structural relationships and consistency constraints whereas the applicability of EXPRESS for the modeling of behavior is very limited. Thus, at present there is an ongoing discussion by which means EXPRESS should be extended with. In this paper, we ...

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...

Most of organizations try to ensure that their business processes are compliant with regulations and laws, so runtime monitoring of process compliance is considered to be of crucial importance. In this regard, there are several frameworks that enable the monitoring based on variants of event processing technologies. Most of these frameworks presume a rich activity lifecycle model for the execut...

Business process models are becoming the backbone of any enterprise system, the blue prints that drive business. However, there are many situations in today’s business when such processes have to be validated against compliance requirements. Albeit compliance and business experts are able to define and relate compliance requirements, constraints to tasks within business processes at design time...

This article describes the architecture of a monitoring component for the YAWL system. The architecture proposed is based on sensors and it is realized as a YAWL service to have perfect integration with the YAWL systems. The architecture proposed is generic and applicable in different contextes of business process monitoring. Finally, it was tested and evaluated in the context of risk monitorin...

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...

Diverse in-process monitoring techniques based on acoustic, chromatic and intelligent approaches have been developed for laser cleaning not only to achieve the sound-cleaned surface but also to control the process in an automatic manner. The cleaning of various materials such as copper, marble, paper have also been carried out by using Q-switched Nd:YAG radiation. The process was successfully m...

In this paper, we present a neural networks and image analysis based approach to assessing colour deviations in an offset printing process from direct measurements on halftone multicoloured pictures—there are no measuring areas printed solely to assess the deviations. A committee of neural networks is trained to assess the ink proportions in a small image area. From only one measurement the tra...