Each year, latest state of the art technologies and algorithms arise that claim and prove to-shine their predecessors. One such algorithm is the Colour-based Retina Key-point (CREAK) descriptor, which is based on the FAST ...

Fluidised bed granulation is a widely used wet granulation technique. The operation of a fluidised bed granulator (FBG) as well as the quality of the product is strongly influenced by multiple process variables and ...

The focus of this paper is the development of attributed graph representations of industrial processes. In this case energy attributes are used since it serves a data reduction purpose and allows for the consideration of ...

Energy-based fault detection and isolation (FDI) schemes show promise in terms of applicability to petrochemical industries and the broader process industries. Model-based FDI schemes offer pronounced advantages over more ...

The aim of this article is to establish a cathodic protection (CP) system design framework for the petrochemical industry in South Africa. The CP system design framework is destined to be used as a guideline when designing ...

For active magnetic bearings (AMBs) to be used with confidence in industrial applications, the safe failure of the AMB system should be guaranteed. The exact behaviour of the rotor on the backup bearings (BBs) is relatively ...

Active magnetic bearing (AMB) failure and the ensuing rotor behavior is a very important aspect of AMB safety. A model for this rotor behavior was developed and was used to characterize the severity of rotor delevitation ...

Energy is a universal concept that can be used across physical domains to describe complex large-scale industrial systems. This brief survey and framework gives a perspective on energy as a unifying domain for system ...

Reconfigurable computing is a paradigm in computing architecture that refers to the practice of using interchangeable hardware modules to enhance the performance of conventional Von-Neumann style computing. Despite the ...

This paper is concerned with the control of an under-actuated, uncertain, delayed non-linear system through the implementation of arti cial neural networks(ANNs). The aim is the development of a series-parallel training ...