MEASUREMENT SYSTEMS

SHE Level 5
SCQF Credit Points 15.00
ECTS Credit Points 7.50
Module Code MMH623522
Module Leader Peter Wallace
School School of Computing, Engineering and Built Environment
Subject Instrumentation and Control
Trimesters
  • A (September start)
  • B (January start)
  • C (May start)

Pre-Requisite Knowledge

Knowledge of: Measurement theory, signal processing, noise reduction techniques, data acquisition and analysis equivalent to the level covered in Measurement, Theory and Devices and Data Acquisition and Analysis.

Summary of Content

Problems for study will be selected from the following areas: condition monitoring of mechanical or electrical machines, multiphase flow measurement and aspects of designing sensor systems for industrial measurements, instrument control, system troubleshooting and optimisation in industrial applications.

Syllabus

Case Studies and exercises will be drawn from the following: 1. Sensor set identification and optimization for system troubleshooting applications. Process Instrumentation from a Systems Engineering perspective - selection(throughout Conceptual Design and Front End Engineering Design phases) and performance of industrial transducers for measuring process variables (e.g. flow, level, pressure, temperature), specification of measurement systems for industrial applications, including monitoring, diagnosis and prognosis systems parameters, benchmarking and optimising system performance, on/off-site troubleshooting. 2. Instrumentation for machine condition monitoring. Time and frequency domain measurements, measurements of vibration and temperature, thermography. 3. Flow measurement, with a focus on oil and gas applications. Flow meters; calibration and performance; fiscal allocation and techniques for multiphase flow measurement.

Learning Outcomes

On completion of the module the student should be able to:1. Specify the instrumentation requirements for a given task2. Determine the likely performance of a system based on the instrumentation specification and application3. Academic writing

Teaching / Learning Strategy

Lecture material will be delivered within the first week of the 3 week cycle. The material covered in the lectures will be reinforced and consolidated through tutorials and computer simulation work which will take place over the following 2 weeks. Students will study and solve industrially relevant measurement problems encouraging divergent thinking and broader, deeper learning. Students will undertake work which will develop technical report writing skills and communication skills in general. Through the study of national and international codes standards, students will be global learners. Through the use of the managed learning environment GCU Learn, students will become more engaged, flexible and independent in their learning as there will be a wide range of learning resources available on line. In addition to the core module content, links to relevant databases for the sourcing of additional reading material from the current research in the subject area from around the world will be made available. Students will receive individual feedback on their performance though one-to-one contact with tutors at tutorials and practical sessions and marked coursework which will reinforce the students' learning. Distance Learning Students will be provided with a study pack consisting of directed learning notes covering a series of in-depth case studies and software. GCULearn will be used to support the delivery of the module and tutors will be available for consultation via GCULearn, e-mail and telephone. Materials, including AV versions of lectures and tutorials, will be available via GCULearn.

Indicative Reading

Jennions, I.K., (2012). Integrated Vehicle Health Management - Perspectives on an Emerging Field, SAE International, 2012. Pahl, G. & Beitz, W., (1988). Engineering Design: A Systematic Approach, Springer-Verlag. Berlin Stone, R.B., & Wood, K.L., (2000). Development of a functional basis for design, Journal of Mechanical Design, pp. 359-370. Walker, M., & Kapadia, R., (2009). Integrated Design of On-line Health and Prognostics Management, Proceeding of International Conference on Prognostics and Health Management. San Diego, CA September 27 - October 1, USA. Principles of Measurement Systems, J.P. Bentley, 2005, 4th Edition, Longman. ISBN-10: 0130430285 Measurement Systems- Application and Design, E.O. Doebelin, 2003, 5th Edition, McGraw-Hill International, ISBN 0-07-1194657 Appropriate journal and conference articles, including those hosted in the NEL and CEESI virtual libraries; and Measurement+Control, the journal of the Institute of Measurement and Control Practical machinery vibration analysis and predictive maintenance Cornelius Scheffer, Paresh Girdhar 2004 Elsevier Engineering Condition Monitoring: Practice, Methods and Applications Ron Barron (Editor) Longman Scientific 1996

Transferrable Skills

D1 Specialist knowledge and application D2 Critical thinking and problem solving D3 Critical analysis D4 Communication skills, written, oral and listening D5 Numeracy D6 Effective information retrieval and research skills D7 Computer literacy D8 Self confidence, self discipline & self reliance (independent working)

Module Structure

Activity Total Hours
Practicals (FT) 18.00
Tutorials (FT) 6.00
Assessment (FT) 24.00
Assessment (FDL) 24.00
Lectures (FT) 20.00
Independent Learning (FT) 82.00
Practicals (FDL) 18.00
Tutorials (FDL) 6.00
Independent Learning (FDL) 102.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 1 n/a 50.00 45% Literature Review (Learning Outcomes 1 and 2)
Coursework 2 n/a 50.00 45% Analysis Design case study (Learning Outcomes 1 and 2)