PRRE4008

PRRE4008: Process Monitoring and Fault Diagnosis

Student reviews for PRRE4008 at Curtin University. See ratings, workload, grades, and honest feedback from Curtin students.

View in Curtin Handbook

PRRE4008 student reviews

No reviews of PRRE4008 yet. Be the first: the workload it really took, how it was assessed, and whether you would take it again.

Which units require PRRE4008?

No other unit in the catalogue lists PRRE4008 as a prerequisite, so it is not a gateway to anything further.

What is PRRE4008 about?

This unit will cover theoretical concepts and their practical application in process monitoring and fault diagnosis within a multivariate statistical process monitoring framework. This will include a general data analytical methodology to deal with structured, as well as unstructured process data typically encountered in process plants. In this framework, feature extraction from signals and images will be considered, use of these features in models designed to monitor processes, as well as the construction of diagnostic models to interpret process deviations. Students will gain a comprehensive overview of advanced statistics and machine learning methods to enable them to deal with nonlinear systems commonly found in the resources industries. This will include the application of deep neural networks in process fault and anomaly detection, as well as the application of methods in explainable artificial intelligence to diagnose faults.

Quick tips

One-line things worth knowing. No full review required.

Be the first. One line on the assessments, the pace, or what to start early.

Unit details

Credits25

Contact Hours5 Weekly

Result TypeGrade/Mark

AreaWASM: Minerals, Energy and Chemical Engineering (WASM-MECE) (1155)

Field of Education030300 Process and Resources Engineering (Narrow Grouping)

Handbook View Official Handbook Page →

How this unit is taught

Lecture1 x 2 hours weekly
Tutorial1 x 2 hours weekly
Computer Laboratory1 x 1 hour weekly

Prerequisites

PrerequisitesComplete All