Process monitoring forms an integral part of business process management. It involves activities in which process execution data are collected and analyzed to measure the process performance with respect to the performance objectives. Traditionally, process monitoring has been performed at runtime, providing a real-time overview of the process performance and identifying performance issues as t...

Predictive business process monitoring is concerned with the analysis of events produced during the execution of a business process in order to predict as early as possible the final outcome of an ongoing case. Traditionally, predictive process monitoring methods are optimized with respect to accuracy. However, in environments where users make decisions and take actions in response to the predi...

This paper considers the development of a Petri-net-based modelling tool as a mechanism for process and system monitoring. The use of Petri-nets, which has previously been largely based in the areas of systems modelling and simulation, is shown here to have great potential for deployment as a process monitoring and management application. Interfacing with real-world processes has been achieved ...

Statistical process control, a recognized technique for improving quality and productivity, has been widely employed throughout various industries. The conventional Shewhart control charts are applicable only when the collected sample data are real-valued data. For the purpose of controlling uncertain information when interval-valued data inevitably appear in the manufacturing or service proces...

Parallel program monitoring is a key to success in parallel program development. We have developed a novel approach, called the logical clock approach , for the highly transparent monitoring of parallel programs. To apply the logical clock approach in monitoring occam programs on transputer-based systems , we rst study the (micro-coded) process scheduler of the transputer, and then demonstrate ...

This paper presents a new method to perform fault diagnosis for data-correlation based process monitoring. As alternative to the traditional contribution plot method, reconstruction-based contribution of fault detection indices is proposed. The monitored indices are SPE, T 2 and a combined index φ. The lack of diagnosability of traditional contributions is analyzed for the case of single sensor...

The paper gives main information about using information technologies in a control system. The term of information technology is being defined according to fundamental requirements coming from the everyday operation of a company. There is also a review of the recent state of the art of process data visualization and monitoring in industrial control systems. The paper refers to using information...

Certain microstructural features of materials, such as grain size in metals, porosity in ceramics, and structural phase compositions, are important for determining mechanical properties. Many of these microstructural features have been characterized by ultrasonic wave propagation measurements, such as wave velocity and attenuation. Real-time monitoring of ultrasonic wave propagation during the ...