Design of A Condition-Based Analytical Decision Support Tool

As manufacturing companies thrive to achieve global competitiveness, effective plant monitoring and short decision making time has proven to be a big contribution for them to achieve their goal. To cut operational costs and offer a competitive edge, the companies need not only to capture equipment failure but to predict the failure occurrence. The book discusses an analytical decision support tool for monitoring a generator thrust bearing of a hydro power station. The system consists of a distributed Multi-Agent System (MAS) comprising of agents. The diagnosis agent is responsible for obtaining the parameter readings from the sensors using a Siemens PLC and an OPC server. The decision alarm agent uses a rule base to monitor the parameters obtained from the diagnosis agent and make decisions on equipment availability. The desired action and equipment performance trends are then conveyed to the user by the distribution agent. The decision support tool is developed using the Java Agent Development framework (JADE). The proposed system showed an increase in machine availability and reduction in the maintenance scheduling time and parts inventory.

Autorentext

Nelson Masanganise is a Lubes Sales Engineer based in Zimbabwe. He received a bachelor's degree in Industrial and Manufacturing Engineering from the National University of Science and Technology. His areas of interest include industrial automation and lubricants. In his free time Nelson is a part-time volunteer dealing with orphans.