Unit Name

INDUSTRIAL INSTRUMENTATION

Unit Code

ME504

Unit Duration

12 weeks

Award

Graduate Diploma of Engineering (Industrial Automation) Duration: 1 year

Master of Engineering (Industrial Automation) Duration: 2 years

Year Level

1st

Unit Creator/Reviewer

Dr. Srinivas Shastri

Core/Elective

Core

Pre/Co-requisites

None

Credit Points

3

Grad Dip total course credit points = 24 (3 credits x 8 (units))

Masters total course credit points = 48

(3 credits x 12 (units) + 12 credits (Thesis))

Mode of Delivery

On-Campus or Online

Unit Workload

10 hours per week: Lecture - 1 hour

Tutorial Lecture - 1 hours

Practical / Lab - 1 hour (where applicable)

Personal Study recommended - 7 hours (guided and unguided)

Unit Description and General Aims

This subject aims to provide students with an in-depth knowledge of the techniques and technologies employed in the instrumentation systems deployed for the automation of industrial processes. The subject combines measurement theory and physics to establish a deep understanding of the leading transducer applications. Students will be able to describe the key features of widely used measurement techniques and will be able to show how transducers are combined with microprocessor devices to create robust and reliable industrial instruments such as pressure transmitters, flow metering systems and temperature transmitters. The subject will introduce students to the latest practices in industrial instrument communication networks including wireless technology and field bus. They will undertake case studies to prepare and evaluate instrumentation solutions for industrial automation problems including the evaluation of energy saving options in fluid control devices.

Learning Outcomes

On successful completion of this subject/unit, students are expected to be able to:

  1. Demonstrate how the generalized measurement system can be realized in typical examples of industrial instrumentation.

    Bloom’s Level 5

  2. Apply physical principles to discuss the static and dynamic response characteristics of a transducer.

    Bloom’s Level 5

  3. Analyse specific measurement problems, describe the appropriate sensing principles and propose suitable instrumentation.

    Bloom’s Level 6

  4. Summarize and compare the most widely applied signal transmission technologies for industrial instrument installations in small to medium manufacturing plants. Bloom’s Level 6

  5. Choose appropriate control valve designs for a given flow or pressure control application.

    Bloom’s Level 5

  6. Compare energy saving benefits of variable speed pumps and valves for fluid control.

    Bloom’s Level 6

  7. Design a typical process instrumentation system by using graphical symbols and numbering codes in accordance with the International Standards ANSI/ISA- S 5.01 and S 5.02.

Bloom’s Level 5

Bloom’s Taxonomy

The cognitive domain levels of Bloom’s Taxonomy:

Bloom’s

Level

Bloom’s

Category

Description

1

Knowledge

Recall, define and list facts, concepts, methods, terminologies, theories and structures.

2

Comprehension

Demonstrate understanding by comparing, organizing, describing, translating, interpreting, paraphrasing, explaining and distinguishing.

3

Application

Use knowledge to solve problems, identify connections and show relationships, in context.

4

Analysis

Examine information, breakdown a problem, determine relationships and causes, make inferences, classify and infer from evidence.

5

Synthesis

Produce a pattern from relationships, propose operations, formulate a design,

compose a hypothesis, reassemble information, construct, plan, invent, predict and create.

6

Evaluation

Make judgements based on evidence and external criteria, determine best practice, optimise, validate ideas, judge and critique, assess, valuate and make recommendations.

Engineers Australia

The Australian Engineering Stage 1 Competency Standards for the Professional Engineer, approved as of 2013. This table is referenced in the mapping of graduate attributes to learning outcomes and via the learning outcomes to student assessment.

Stage 1 Competencies and Elements of Competency

1.

Knowledge and Skill Base

1.1

Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.

1.2

Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.

1.3

In-depth understanding of specialist bodies of knowledge within the engineering discipline.

1.4

Discernment of knowledge development and research directions within the engineering discipline.

1.5

Knowledge of engineering design practice and contextual factors impacting the engineering discipline.

1.6

Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering practice in the specific discipline.

2.

Engineering Application Ability

2.1

Application of established engineering methods to complex engineering problem solving.

2.2

Fluent application of engineering techniques, tools and resources.

2.3

Application of systematic engineering synthesis and design processes.

2.4

Application of systematic approaches to the conduct and management of engineering projects.

3.

Professional and Personal Attributes

3.1

Ethical conduct and professional accountability.

3.2

Effective oral and written communication in professional and lay domains.

3.3

Creative, innovative and pro-active demeanour.

3.4

Professional use and management of information.

3.5

Orderly management of self, and professional conduct.

3.6

Effective team membership and team leadership.

Graduate Attributes

Successfully completing this Unit will contribute to the recognition of attainment of the following graduate attributes aligned to the AQF Level 9 criteria, Engineers Australia Stage 1 Competency Standards for the Professional Engineer and the Washington Accord and the Program Level Outcomes (PLO):

Graduate Attributes / Program Level Outcomes (Knowledge, Skills, Abilities, Professional and Personal Development)

EA Stage 1 Competencies

Learning Outcomes

A. Effective Communication (PLO 1)

A1. Cognitive and technical skills to investigate, analyse and organise information and ideas and to communicate those ideas clearly and fluently, in both written and spoken forms appropriate to the audience.

2.2, 3.2

1, 3, 5, 6

A2. Ability to professionally manage oneself, teams, information and projects and engage effectively and appropriately across a diverse range of international cultures in leadership, team and individual roles.

2.4, 3.2, 3.4,

3.5, 3.6

 

B. Critical Judgement (PLO 2)

B1. Ability to critically analyse and evaluate complex information and theoretical concepts.

1.1, 1.2, 1.3,

2.1

1, 2

B2. Ability to creatively, proactively and innovatively apply theoretical concepts, knowledge and approaches with a high level of accountability, in an engineering context.

1.5, 2.1, 3.3,

3.4

3, 5

C. Design and Problem Solving Skills (PLO 3)

C1. Cognitive skills to synthesise, evaluate and use information from a broad range of sources to effectively identify, formulate and solve engineering problems.

1.5, 2.1, 2.3

5, 6

C2. Technical and communication skills to design complex systems and solutions in line with developments in engineering professional practice.

2.2, 2.3

4

C3. Comprehension of the role of technology in society and identified issues in applying engineering technology ethics and impacts; economic; social; environmental and sustainability.

1.5, 1.6, 3.1

 

D. Science and Engineering Fundamentals (PLO 4)

D1. Breadth and depth of mathematics, science, computer technology and specialist engineering knowledge and understanding of future developments.

1.1, 1.2, 1.3,

1.4

4

D2. Knowledge of ethical standards in relation to professional engineering

1.6, 3.1, 3.5

 

practice and research.

   

D3. Knowledge of international perspectives in engineering and ability to apply various national and International Standards.

1.5, 1.6, 2.4,

3.4

7

E. Information and Research Skills (PLO 5)

E1. Application of advanced research and planning skills to engineering projects.

1.4, 2.4, 3.6

 

E2. Knowledge of research principles and methods in an engineering context.

1.4, 1.6

2

Unit Content and Learning Outcomes to Program Level Outcomes (PLO) via Bloom’s Taxonomy Level

This table details the mapping of the unit content and unit learning outcomes to the PLOs and graduate attributes at the corresponding Bloom’s Taxonomy level, specified by the number in the table.

 

Integrated Specification /

Program Learning Outcomes

PLO 1

PLO 2

PLO 3

PLO 4

PLO 5

Unit Learning Outcomes

LO1

5

5

-

-

-

LO2

-

5

-

-

5

LO3

6

6

-

-

-

LO4

-

-

6

6

-

LO5

5

5

5

-

-

LO6

6

-

6

-

-

LO7

-

-

-

5

-

Unit Study

Assessments

6

6

6

6

5

Lectures/Tutorials

6

6

6

6

5

 

Max Bloom’s level

6

6

6

6

5

Total PLO coverage

6

6

5

4

3

Student assessment

Assessment Type

(e.g. Assignment - 2000 word essay (specify topic) Examination (specify length and format))

When assessed (e.g. Week 5)

Weighting (% of total unit marks)

Learning Outcomes Assessed

Assignment 1 - Project Midterm

Type: Report / Research / Paper / Case Study / Site Visit / Problem analysis / Project / Professional recommendation

(Typical report 1,500 words maximum, excluding references. This Project will include a progress report; literature review, hypothesis, schedule, challenges and future work)

Example Topic: “Planning and specification of an instrumentation system for a pressure control loop in a continuous process”

Week 7

20%

1, 2

Assignment 2

Type: Multi-choice test / Group work / Short answer questions / Role Play / Self-Assessment / Presentation

Example topics: To be suggested by lecturer

Week 9

20%

1, 2, 3, 4, 5

Assignment 3 - Final Project (Typical thesis 4000 words, excluding references, figures and tables).

Example Topic: Review and recommend an instrumentation system concept for a multistage processing plant with a large number of process variables.

Final Week

40%

3, 4, 6, 7

Practical Participation

Example: May be in the form of quizzes, class tests, practical assessments, remote labs, simulation software or case studies

Continuous

15%

1, 2, 3, 4, 5,

6, 7

Attendance / Tutorial Participation

Example: Presentation, discussion, group work, exercises, self-assessment/reflection, case study analysis, application.

Continuous

5%

1, 2, 3, 4, 5,

6, 7

Prescribed and recommended readings

Required textbook(s)

  • Holman, J., 1978, Experimental Methods for Engineers (Mcgraw-Hill Series in Mechanical Engineering) – ISBN: 978-0073529301

  • Patranabis D., 2010, Principles of Industrial Instrumentation 3rd Edition: Tata McGraw-Hill – ISBN: 978-0070699717

  • EIT course notes

  • Engineering Standard ANSI/ISA Instrument Symbols and Identification

    Recommended textbook(s)

  • Dunn, W., 2005, Fundamentals of Industrial Instrumentation and Process Control: McGraw- Hill Education – ISBN: 978-0071457354

  • Morris, A. S., 2001, Measurement and Instrumentation Principles, 3rd Edition: Butterworth- Heinemann – ISBN: 978-0750650816

  • Du, W. Y., 2014, Resistive, Capacitive, Inductive, and Magnetic Sensor Technologies: CRC Press – ISBN: 978-1439812440

  • Lipták, B. G., 2005, Instrument Engineers' Handbook, 4th Edition, Volume Two - Process Control and Optimization: CRC Press – ISBN: 978-0849310812

    Reference Materials

  • Number of journals and websites (advised during lectures).

  • Examples of journals including the International Journal of Instrumentation

Unit Content:

One topic is delivered per contact week, with the exception of part-time 24-week units, where one topic is delivered every two weeks.

Topic 1

Introduction to instrumentation and measurement systems

  1. The generalized measurement system and its relationship to control systems

  2. Dimensions, SI units and reference standards

  3. Introduction to instrumentation systems as used in industry.

Topic 2

Measurement principles

  1. Measurement ranges, linearity and sensitivity.

  2. Measurement error and uncertainty analysis

  3. Statistical methods for measurement

  4. Analogue instruments and measurement principles

  5. Digital measurement principles

  6. Dynamic measurements and response factors.

Topic 3

Electrical measurement principles

  1. Electromagnetic forces and waveform measures

  2. Basic analog and digital meters

  3. Principles of differential and operational amplifiers

  4. Signal conditioning, filtering and noise reduction methods

Topic 4

Transducer principles

  1. Potentiometers and inductive sensors

  2. Piezo-electric sensors

  3. Photoelectric sensors

  4. Capacitance and vibration sensors

  5. Other sensors

Topic 5

Signal processing and signal transmission

  1. Principles of signal processing for measurement

  2. Data acquisition systems

  3. Principles of industrial transmitters and analogue signal transmission methods

  4. Microprocessors and intelligent transmitters, HART digital transmission systems

  5. Introduction to Fieldbus and wireless data transmission for industrial applications

Topic 6

Force and pressure measurements

  1. Principles of force and mass measurement

  2. Elastic elements and strain gauges

  3. Overview of pressure measurement methods.

  4. Diaphragm gauges and sensors

  5. Thermal conductivity methods

Topics 7 and 8

Industrial flow measurement techniques

  1. Principles of fluid flow

  2. Flow-obstruction methods (orifice, flow nozzle, venturi)

  3. Pitot tubes and their applications)

  4. Leading process flow metering methods (Vortex, Magnetic, Ultrasonic, Thermal)

  5. Integration and selection of flowmeters for process automation

Topic 9

Control valves and actuators

  1. Introduction to pipeline flow and the role of the control valve

  2. Installed flow characterization of control valves

  3. Valve sizing for liquids, gases and steam flow control

  4. Comparative features of variable speed pumps versus control valves for fluid flow control.

Topic 10

Level measurement techniques for liquids and solids

  1. Introduction to level measuring challenges in industry.

  2. Liquid level by hydrostatic head

  3. Microwave and radar methods for solids

  4. Ultrasonic and radiation methods

  5. Storage tank gauging and linearization

  6. Mass measurements using load cells

Topic 11

Temperature measurement techniques

  1. Physical principles

  2. Resistance temperature detectors and thermocouples

  3. IR and UV radiation temperature sensing.

Topic 12

Instrument systems engineering

  1. Instrumentation project scope in support of automation

  2. Instrumentation symbols, notations and numbering systems

  3. Industrial installation practices and standards

  4. Remote monitoring and diagnostics in process instrumentation

Project – due week after end of semester

In the final week students will have an opportunity to review the contents covered so far. Opportunity will be provided for a review of student work, to clarify any outstanding issues, and to work on finalising the major assessment report.

The Engineering Institute of Technology (EIT) is dedicated to ensuring our students receive a world-class education and gain skills they can immediately implement in the workplace upon graduation. Our staff members uphold our ethos of honesty and integrity, and we stand by our word because it is our bond. Our students are also expected to carry this attitude throughout their time at our institute, and into their careers.