MEEN30040 Measurement & Instrumentation

Academic Year 2023/2024

Introduction to the fundamental principles associated with measurement and instrumentation. General instrument characteristics, calibration, measurement uncertainty, error specification and propagation, transient characteristics.

Analysis of measurement systems to include: Temperature - thermocouples, thermistors, platinum resistance thermometers. Flow - Velocity measurement, pitot tube, hot wire anemometer. Volumetric measurement, obstruction flowmeters, rotometer, flowmeters. Strain. Force & pressure. load Cells, pressure gauges (mechanical and electronic).

Signal conditioning, electrical signals, transducer circuits, signal transportation. Signal processing. Data acquisition sampling, multiplexing, analogue to digital conversion, scaling up.

Data analytics and data science principles applied to engineering design, manufacturing and process data, i.e. statistical process data analysis for quality control, process data visualisation and validation, hypothesis testing and confidence internals, analysis of variance (ANOVA), regression analysis, model building and factorial experimental design & data analysis.

Laboratory activities include: (i) Instrument calibration, (ii) Error propagation analysis, (iii) data acquisition systems, and (iv) design of experiments incorporating data analysis. During laboratory activities students will work in small teams to complete these experimental activities where teamwork and collaboration is encouraged. All laboratory activities are carried out with due regard to the School's Health and Safety protocols. Students should follow these during all laboratory activities, including wearing a laboratory coat, and relevant PPE when required. Further information is available at https://intranet.ucd.ie/smme/index.html.

There is no specified course text, but a number of texts are recommended as supplementary reading:

Measurement Systems. Doebelin. 6th Ed. ISBN: 978-0070699687 (2011).
Experimental Methods for Engineers. Holman. 8th Ed. ISBN: 978-0073529301 (2011).
Mechanical Measurements. Bechwith. 6th Ed. ISBN: 0201847655 (2006).
Theory and Design for Mechanical Measurements. Figliola. 7th Ed. ISBN: 978-1-119-47565-1 (2019).
Principles of Measurement Systems. Bentley. 4th Ed. ISBN: 0130430285 (2005).
Measurement and Data Analysis for Engineering and Science. Dunn. 4Ed. ISBN: 9781138050860 (2017)

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Curricular information is subject to change

Learning Outcomes:

On successful completion of this subject the student will be able to:

1. Appreciate the importance of measurement and instrumentation in engineering applications.
2. Distinguish between static and dynamic characteristics of instruments.
3. Calibrate an engineering instrument to industry standards and specify its bias and precision uncertainties.
4. Combine individual instrument uncertainties in multi-instrumented experiments.
5. Understand the engineering principles that underpin specific measurement instrumentation types.
6. Deploy data acquisition systems thereby automating the process of measurement.
​7. Comprehend the importance of gathering structured and valid process data to perform a full factorial experimental design.
8. Apply data analytics techniques to process data and make statistical inferences.

Student Effort Hours: 
Student Effort Type Hours
Lectures

30

Practical

10

Specified Learning Activities

10

Autonomous Student Learning

60

Total

110

Approaches to Teaching and Learning:
Lectures, laboratories, class test. 
Requirements, Exclusions and Recommendations
Learning Requirements:

A basic knowledge of (i) statistical methods and (ii) electrical concepts are neccessary.


Module Requisites and Incompatibles
Incompatibles:
EEEN30180 - Bioinstrumentation


 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Lab Report: Laboratory Activities Varies over the Trimester n/a Graded No

20

Examination: Module examination 2 hour End of Trimester Exam No Standard conversion grade scale 40% No

60

Continuous Assessment: Continuous Assessment #2 Varies over the Trimester n/a Standard conversion grade scale 40% No

10

Continuous Assessment: Continuous Assessment #1 Varies over the Trimester n/a Standard conversion grade scale 40% No

10


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Autumn No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Pezhman Ghadimi Lecturer / Co-Lecturer
Mr Brian Mulkeen Lecturer / Co-Lecturer
Dr Javad Zeinali Lecturer / Co-Lecturer
Mariami Mtchedlishvili Tutor
Miss Karin Vancíková Tutor
Chenhua Zhang Tutor
umair javaid Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 20, 21, 23, 24, 25, 26, 29, 31, 32, 33 Mon 11:00 - 11:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 14:00 - 14:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 12:00 - 12:50
Practical Offering 1 Week(s) - 22, 24, 26, 30, 32 Tues 11:00 - 12:50
Practical Offering 2 Week(s) - 23, 25, 29, 31, 33 Tues 11:00 - 12:50
Practical Offering 3 Week(s) - 22, 24, 26, 30, 32 Thurs 11:00 - 12:50
Practical Offering 4 Week(s) - 23, 25, 29, 31, 33 Thurs 11:00 - 12:50
Spring