units

MEC6882

Faculty of Engineering

18 September 2017 22 November 2024

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

0 points, SCA Band 2, 0.000 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Engineering

Organisational Unit

Department of Mechanical and Aerospace Engineering

Coordinator(s)

Prof Sunita Chauhan (Clayton)

Offered

Clayton

  • First semester 2016 (Day)

Notes

This unit is available only to Engineering PhD students.

Synopsis

Advanced instrumentation and sensing necessitates a multi-disciplinary approach in order to monitor engineering systems as diverse as renewable energy, aerospace, buildings, transportation, telecommunications and biomedical devices.

The monitoring and assessment techniques are founded on the fundamentals of mechanical engineering, electrical and electronic engineering and information technology.

The unit covers exploration of strategies for efficient instrumentation of engineering assets. Students will use a range of sensing technologies to gather real-time information and use industry standard approaches to data analyses, characterisation, fault assessment and reporting methodologies at various stages of product design and product development.

Data visualisation will also be discussed. The unit will explore frequency of monitoring in relation to the volume of data collected and strategies for data reduction.

Outcomes

On successful completion of this unit, students will be able to:

  • describe the role of instrumentation and monitoring in product design cycle
  • analyse examples and case studies including those from high-reliability industries
  • synthesise data from a range of instruments and sensors to report on performance against standards
  • evaluate errors in the context of system monitoring
  • evaluate simulations of representative systems
  • problem-solve and analyse faults in terms of root cause analysis
  • engage in regular self-assessment and peer-assessment of individual and team performance as a primary means of tracking continuing professional development.

Assessment

Continuous assessment: 50%
Examination (3 hours): 50%

Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit.

Workload requirements

5 hours contact (typically 2-3 hours of lecture and 2-3 hours tutorial/practice/lab) and 7 hours of private study per week.

See also Unit timetable information

Chief examiner(s)

Professor Chris Davies