MECH4424 Measurement and Noise

6 points
(see Timetable)
Semester 2UWA (Perth)Face to face
This unit covers concepts relating to measurement and noise, enabling students to understand the issues required to achieve high-quality measurements. Students understand issues such as accuracy, precision, repeatability, calibration, uncertainty and noise. Measurements from a range of sensors (mechanical, optical, electrical) are introduced and subsequent signal conditioning (operational amplifiers, instrumentation amplifiers) are addressed with the aim of maximising signal quality. Statistical methods are discussed to better understand noise processes and how noise can be minimised. Methods to improve signal quality (signal to noise ratio) are discussed. Measurement signal and noise are analysed in both the time and frequency domain to better understand the connection between two domains and the importance of measurement bandwidth. Sampling is reviewed to understand the impact of moving from continuous-time (CT) and discrete-time (DT), including discussion of the Nyquist rate and aliasing. The conversion between the analogy to digital domains including CT-DT, system transfer functions, spectral analysis (discrete Fourier transform, discrete-time Fourier transform) and the construction of finite and infinite impulse response filters to reduce noise is discussed.
Students are able to (1) explain measurement concepts obtained through team-based learning; (2) extract critical information from instrumentation specifications to enable high quality experimental design; (3) collect, understand and manipulate data to achieve high-quality measurements; (4) present and analyse data (numerically and in graphical form) in a manner that includes the uncertainty associated with the measurement; (5) move between the time and frequency domains in the process of understanding measurements and minimise noise; (6) critically analyse and assess instrumentation characteristics that affect data collection and measurement; and (7) use relevant instrumentation specifications to enable high quality experimental design.
Indicative assessments in this unit are as follows: (1) laboratories; (2) quizzes; and (3) final examination. Further information is available in the unit outline.

Supplementary assessment is only available in this unit in the case of a student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete their course.
Unit Coordinator(s)
Associate Professor Adrian Keating
Unit rules
enrolment in the Master of Professional Engineering (Mechanical Engineering specialisation),
the Master of Renewable and Future Energy; for pre-2012 courses: (MATH1002 Mathematical Methods 2
MATH2040 Engineering Mathematics
MATH2020 Multivariable Calculus and Linear Algebra)
(MECH1401 Engineering Dynamics
ENSC3001 Mechanisms and Machines)
(CITS2401 Computer Analysis and Visualisation
GENG2140 Modelling and Computer Analysis for Engineers)
Advisable prior study:
MATH1001 Mathematical Methods 1, MATH1002 Mathematical Methods 2, PHYS1001 Physics for Scientists and Engineers, CITS2401 Computer Analysis and Visualisation, ENSC2001 Motion, ENSC2002 Energy
ENSC3001 Mechanisms and Machine
MCTX3420 Mechatronics Design
Contact hours
lectures/information sessions: 3 hours per week; practical classes: 1 hour per week; labs: 2 hours per week
It is recommended that students are familiar with the Microsoft Excel spreadsheet program as this program will be used to perform calculations in assessments/labs.
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