‘a Soft Approach’ – Soft Sensor Technology for Extrusion and Opportunities for Monitoring, Control and Fault Diagnostics
نویسنده
چکیده
This paper highlights a novel technique for monitoring viscosity in polymer extrusion. The device represents a noninvasive technique based on ‘Soft Sensor’ technology; involving sophisticated process modelling and the integration of available on-line data to correct and adjust the model in response to errors and disturbances. The Soft Sensor measurements show excellent performance relative to a rheometric die; accurately tracking fluctuations in the bulk viscosity of the melt at the die due to changing operating conditions and changes in feed material in real-time. The potential to detect changes in feed material properties and to update model parameters accordingly is explored, representing an exciting development for implementation of advanced control schemes to continually optimise the operating conditions to achieve higher quality tolerances, reduce set-up and downtime and consequently reduce energy and material wastage. The technology enables a much more holistic approach to optimisation of settings, disturbance rejection and self-tuning ability than previously attempted in extrusion control.
منابع مشابه
Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...
متن کاملA Self-Reconstructing Algorithm for Single and Multiple-Sensor Fault Isolation Based on Auto-Associative Neural Networks
Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...
متن کاملAn LPV Approach to Sensor Fault Diagnosis of Robotic Arm
One of the major challenges in robotic arms is to diagnosis sensor fault. To address this challenge, this paper presents an LPV approach. Initially, the dynamics of a two-link manipulator is modelled with a polytopic linear parameter varying structure and then by using a descriptor system approach and a robust design of a suitable unknown input observer by means of pole placement method along w...
متن کاملModel-based Approach for Multi-sensor Fault Identification in Power Plant Gas Turbines
In this paper, the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented. A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...
متن کاملAn approach to fault detection and correction in design of systems using of Turbo codes
We present an approach to design of fault tolerant computing systems. In this paper, a technique is employed that enable the combination of several codes, in order to obtain flexibility in the design of error correcting codes. Code combining techniques are very effective, which one of these codes are turbo codes. The Algorithm-based fault tolerance techniques that to detect errors rely on the c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007