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MN5618 Advanced Measurement Systems and Data Analysis
ASSIGNMENT/COURSEWORK PROFORMA
Module code:
MN5618
Assessment title:
Advanced measurement systems and data analysis
Module tutors:
Main objectives of the assessment:
To enable students to demonstrate their in-depth knowledge of the principles of advanced measurement system and data analysis and abilities to apply them to solve practical problems related to advanced measurement system and data analysis.
Brief Description of the assessment:
You will need to complete two tasks:
1) to report on the technological development of one chosen topic based on your student number.
2) to design/develop the Matlab program for the measurement data analysis.
The two tasks are marked according to the assessment criteria and weightings below.
Learning outcomes for the assessment (refer to the appropriate module learning outcomes)
Students will be able to demonstrate the following:
To gain systematic understanding of measurement errors and uncertainties;
To gain comprehensive understanding of the operating principles of advanced sensors;
To develop critical awareness of the range and capabilities of advanced measuring instruments;
To gain systematic understanding of linear/nonlinear models for advanced data analysis.
To perform error analysis and uncertainty evaluation of practical measurement systems;
To critically apply and evaluate different linear/nonlinear models for advanced data analysis.
To gain practical experience in the use of measuring instruments;
To develop critical awareness of the wide applications of advanced measuring instruments.
Assessment criteria:
Evaluation of the technological development of the chosen measurement topic (40%) .
Application of nonlinearleast squares method (20% )
Creation of data analysis algorithm / coding (20% )
Discussions and presentation (20% )
Assessment method by which a student can demonstrate the learning outcomes:
Evaluation of the technological development of the chosen topic(s) related to measurement and data analysis. Design and implementation of algorithms and Matlab programs for practical data analysis.
Weighting:
100% of module marks
Format of the assessment/coursework: (Guidelines on the expected format and length of submission): * Note: full reports may not exceed 30 pages (including appendices)
Format is a formal written report including diagrams/code; calculations (with data; formula; workings and assumptions) and discussion/ comments. Report to be written using Word in a 12 point font.
Typical length of report is 2500 words, comprising Title Page; Introduction; Task 1, Task 2, Discussions, Conclusions and References. Word count does not include code done in Matlab or excel, which should be included in an appendix.
Assessment date/submission deadline :
Please submit by 11:59 am UK Time on 7th March 2024 via WISEflow
** Please ensure to give yourself enough time to submit before the deadline.
Indicative reading list:
Fraden J. (2015). Handbook of modern sensors: physics, designs, and applications. Springer.
Morris A S. (2012). Measurement and instrumentation: theory and application. Academic Press.
Leach R. (2014). Fundamental principles of engineering nanometrology (Micro and Nano Technologies). Elsevier.
Flack D R and Hannaford J. (2005). Fundamental good practice in dimensional metrology”. NPL Good practice guide No. 80 (free download from www.npl.co.uk).
Bell S A. (2001). A beginner’s guide to uncertainty in measurement. NPL good practice guide No. 11 (free download from www.npl.co.uk).
Barker R M, Cox M G, Forbes A B and Harris P M. (2007). Software Support for Metrology Best Practice Guide No. 10: Discrete Modelling and Experimental Data Analysis. National Physical Laboratory, Teddington.
Higham D J, Higham N J. (2016). MATLAB Guide, Third edition. Philadelphia: Society for Industrial and Applied Mathematics.
Bell S A. (2001) A beginner’s guide to uncertainty in measurement. NPL good practice guide No. 11 - www.npl.co.uk
Other information
Use your student ids for anonymity (i.e. no student names on the assignment itself).
Please Email Haitham Elhussieny if you have queries regarding the assignment – Haitham.Elhussieny@brunel.ac.uk
Although your reassessment may contain similar content, you may not copy and paste work from your previous submittal / first sitting.
If you do reuse your own work from a previous submittal, this will constitute unpermitted recycling and will be brought up to Brunel for Academic Misconduct. As stated in the Academic Misconduct Procedure ( https://www.brunel.ac.uk/about/documents/pdf/Academic-Misconduct- Procedure-2020-07-01.pdf ):
‘ Unpermitted recycling / re-using work, which means submitting work for assessment which has previously been submitted, in whole or in part, for assessment at this or another institution, without explicitly acknowledging and referencing the assessment and qualification for which the material was previously submitted, and unless expressly permitted by the assessment brief’
You are therefore expected to choose a different case study or subject for your assignment and create a different answer to ensure your reassessment is original.
ASSIGNMENT
Task 1:
Your report should discuss one topic chosen from the following 10 topics listed below according to the last digit of your student number. For example, if the last digit of your student number is 3, you should choose topic 3. If it is 0, you should choose topic 10.
Flexible gauging systems
Sensors for manufacturing process condition monitoring and predictive maintenance (e.g. temperature, vibration, ultrasound and AE sensors)
Contact robot sensors (e.g. touch, tactile, slip and force sensors)
Noncontact robot sensors (e.g. proximity, distance, depth and vision sensors)
Sensors for mobile robots
Sensors for wearable technologies (e.g. wearable sensors, VR/AR headsets)
Sensors for smart building applications
Industrial Internet of Things (IIoT)
Measurement system digital twins
10. AI for data analytics
In your report, you should discuss and evaluate the key operating principle, characteristics, example applications, and commercial systems with typical performance and limitations of your chosen topic.
Task 2:
Your company has a manual 2D microscope that can measure the coordinates of 2D profiles. You have been asked to develop a least squares algorithm in Matlab to calculate the center and radius of circular features. Given the standard uncertainty of x and y coordinates is 15 µm, calculate the uncertainties associated with the radius and center coordinates. Describe how to reduce the measurement uncertainties.
To test your algorithm, you can use the following measurement results, the XY coordinates recorded for a ring gauge:
Measurement Results (unit: mm)
X
Y
73.008
7.977
63.893
41.995
39.023
66.871
5.002
75.998
-28.994
66.893
-53.880
41.991
-62.985
7.996
-53.906
-25.991
-29.015
-50.892
5.013
-59.973
39.008
-50.902
63.873
-26.002
72.996
7.999
Annex I: Brunel University Generic Masters-level Grade Descriptors
These generic grade descriptors are intended to be used as a tool throughout the assessment process (in assessment design, marking/grading, moderation, feedback and appraisal) for any assessment set at Masters Level in the University.They are designed to show no disciplinary bias and are not intended to act as surrogate award or award classification descriptors. The grade descriptors should be read in conjunction with the learning outcomes associated with the assessment.
Grade A++
Work of exceptionally high quality, commensurate with publication in a highly esteemed peer-reviewed journal. Clearlydemonstrates a sophisticated, critical and thorough understanding of the topic. Provides clear evidence of originality
and clearly demonstrates the ability to develop an independent, highly systematic and logical or insightful argument orevaluation. Demonstrates exceptional ability in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Shows exceptional clarity, focus and cogency in communication.
Grade Band A (A+, A, A-)
Clearly demonstrates a sophisticated, critical and thorough understanding of the topic. Provides evidence of originalityof thought and clearly demonstrates the ability to develop an independent, highly systematic and logical or insightful argument or evaluation. Demonstrates excellence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Shows excellent clarity, focus and cogency in communication.
Grade Band B (B+, B, B-)
Clearly demonstrates a well-developed, critical and comprehensive understanding of the topic. Clearly demonstrates theability to develop an independent, systematic and logical or insightful argument or evaluation. Demonstrates a high degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Shows a high level of clarity, focus and cogency in communication.
Grade Band C (C+, C, C-)
Demonstrates a critical and substantial understanding of the topic. Demonstrates the ability to develop an independent,systematic and logical or insightful argument or evaluation. Demonstrates a significant degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise at Masters Level. Provides evidence of clarity, focus and cogency in communication.
Grade Band D (D+, D, D-)
Provides evidence of some critical understanding of the topic. Demonstrates some ability to develop a structured argument or evaluation. Demonstrates an acceptable degree of competence in the appropriate use of the relevant literature, theory, methodologies, practices, tools, etc., to analyse and synthesise, but not at Masters Level.
Providesevidence of effective communication.
Grade Band E (E+, E, E-)
Work that demonstrates significant weaknesses, but which provides strong evidence that Grade D is within the reach ofthe student.
Grade F
Work that is unacceptable
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