Temperature sensor placement for multiple fault detection

Abstract

Sensors play a very important role in all kind of industrial plant. Types of sensor can vary from level, flow, pressure and temperature. In an industrial plant, a huge quantity of sensors are being installed for monitoring purpose. These sensors involve complex installation architecture due to cable and installation cost. Each and every single sensor only detects a single fault. In industrial plant, pipeline plays a very important role in ferrying chemical fluids around and across the plant. In order to secure the quality, quantity and safety of the pipeline, all type of sensors are being installed to monitor the chemical fluids in the pipeline. This research paper aims to develop a desired simulation where the best location of sensor placement optimization for multiple faults detection using Fuzzy method. Fault will include vary problems such as temperature below or above limit at the inflow and outflow of the pipe and the pipe leakage. This will provide a fault detection and give a warning signal to the operator. From the above method being applied, the complexity architecture of the system and installation cost can be reduced in every industrial plant. It can also be environmental friendly as less resource is being used to establish the system for the industrial plant.