MEASUREMENT AND INSTRUMENTATION

ELE3MIN

2018

Credit points: 15

Subject outline

Data is essential to the design and operation of modern engineering systems. To appreciate the quality  of the acquired data, and apply it effectively, it is essential that engineers have a thorough understanding of measurement processes and uncertainty. The subject firstly investigates analogue measurement techniques, and the inherent sources of error and noise. Secondly, the conversion to the digital environment is explored, including examination of the impact of error and noise on the resultant data product, and hence the reliability and applicability of its use in an engineering environment.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorBernard Xu

Available to Study Abroad StudentsYes

Subject year levelYear Level 3 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites ELE1IEL and MAT1NLA and MAT1CDE

Co-requisitesN/A

Incompatible subjects ELE3IES

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsFundamentals of Industrial Instrumentation and Process ControlPrescribedDunn, W., 2005McGraw-Hill
ReadingsPrinciples of Measurement SystemsPrescribedBentley J., 2005Pearson

Graduate capabilities & intended learning outcomes

01. Describe sources of error and noise in a measurement system and techniques which may be used to mitigate these errors.

Activities:
Lectures and tutorials describe the error sources and mitigation techniques. Laboratories allow students to experiment with inducing noise and mitigating error from data measurements.
Related graduate capabilities and elements:
Literacies and Communication Skills
Inquiry and Analytical Skills
Inquiry and Analytical Skills
Discipline -Specific Knowledge and Skills

02. Acquire analog data signals into a digital domain and describe relevant considerations including quantisation, sampling rate and linearity.

Activities:
The knowledge gained in lectures and blended tutorials is then applied in a laboratory context by measuring and analysing a variety of analog signals with different characteristics (e.g. frequency, magnitude).
Related graduate capabilities and elements:
Literacies and Communication Skills
Inquiry and Analytical Skills
Inquiry and Analytical Skills
Discipline -Specific Knowledge and Skills

03. Construct and analyse simple amplifier circuits to ascertain and document their functionality through measurements.

Activities:
Lectures and tutorials provide the fundamental theory for design and analysis of circuits which is then applied in labs with practical signals and measurements.
Related graduate capabilities and elements:
Literacies and Communication Skills
Inquiry and Analytical Skills
Inquiry and Analytical Skills
Discipline -Specific Knowledge and Skills

04. Analyse and describe the functionality and purpose of standard filter types.

Activities:
Lectures and tutorials describe the different filter types which are then experimentally applied in laboratory classes.
Related graduate capabilities and elements:
Literacies and Communication Skills
Inquiry and Analytical Skills
Discipline -Specific Knowledge and Skills

05. Perform measurements with remote (wireless/wired) data acquisition tools and discuss sources of error related to data acquisition and transmission.

Activities:
Remote sensor acquisition is discussed in lectures and tutorials and this then experimentally observed in laboratories.
Related graduate capabilities and elements:
Literacies and Communication Skills
Inquiry and Analytical Skills
Inquiry and Analytical Skills
Inquiry and Analytical Skills
Discipline -Specific Knowledge and Skills

Subject options

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Start date between: and    Key dates

Melbourne, 2018, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBernard Xu

Class requirements

Lecture Week: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Tutorial Week: 11 - 22
One 1.0 hours tutorial per week from week 11 to week 22 and delivered via online.
"All online video content"

Laboratory Class Week: 10 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"3 hours problem solving in laboratory"

Assessments

Assessment elementComments% ILO*
2 hour written Exam (equivalent to 2,000 words)60 01, 02, 04, 05
Laboratory demonstrations (equivalent to 1,000 words)Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories.20 01, 02, 03, 04, 05
3 Written Assignments (2-3 pages each, equivalent to 1,000 words total)10 01, 02, 04, 05
Online multiple choice quizzes (equivalent to 500 words)10 01, 02, 04, 05