15 credits at level HE7
The module is defined to impart a practical and theoretical knowledge of assessing and monitoring mechanical systems by aid of digital signal processing to the student. Students will learn to apply and to develop techniques for assessing, designing and implementing systems to evaluate and monitor dynamic characteristics of mechanical systems. They are applied to assess the status of mechanical systems, e.g., with respect to predictive maintenance. Furthermore, systems for monitoring of manufacturing processes to ensure quality of products will be presented and discussed. Thus, techniques for evaluating dynamic characteristics of machines and systems or signals generated by manufacturing processes are discussed. Students will learn to define measuring chains based upon standard components. This includes so called sensorless monitoring. Different manufacturing processes such as metal cutting and forming will be realised and signals will be acquired accordingly. Feature extraction will be applied to gain and develop knowledge about systems’ characteristics as well as of processes and to extensively evaluate signals picked-up by different sensors at different mechanical systems and/or manufacturing processes. Influences characteristic for the status of systems and/or processes will be enforced to study variations of features. Based on the knowledge of process signals methodologies to extracted features thereof are developed and introduced. Procedures to monitor individual machines, systems and processes are given.
Data acquisition systems and data processing
signal conditioning, amplifiers, filters
data acquisition boards, measuring systems
definition of signal features and extraction
methodologies to assess short term and long term feature variations
Evaluation of hardware specification and integration based on system requirements
integration of sensors into mechanical systems
off the shelf systems
customised monitoring systems
Monitoring machines and systems with respect to predictive maintenance
Manufacturing tests in metal machining
processes: milling, turning, forming, grinding
parameters: cutting / forming speed, feed rate, geometry of tools, wear of tools
Development of measurement chains,
Online and offline data processing
Assessment of features
Definition of limits to assess process status
Structured notes will be used containing the required theory, worked examples and relevant tutorial questions. The lectures will be supported by tutorials in which the students will have to solve problems using both long hand methods and by using the supporting signal processing software. These problems will be taken from a variety of engineering fields e.g. metal cutting and metal forming, control systems, structural dynamics.
Laboratory and tutorial sessions are used to compare theoretical analysis/simulation to the results obtained from the experiments on the hardware and also to gain practical experience in assessing signal characteristics by evaluating their statistical description.
Practical tests on how to define and set up measurement chains will be done in a laboratory. Students will have to define and set up particular task in manufacturing processes for data acquisition, signal processing and evaluations and assessment of process data and feature extraction.
Lectures 50 hours
Computer-based exercises 30 hours
Discussion /review /tutorial 20 hours
Coursework 60 hours
Directed reading 30 hours
Exam preparation 50 hours
Total No. Hours 240 hours
when you have successfully completed this module you will:
to demonstrate that you have achieved the learning outcome you will:
|1.||Have knowledge and understanding of the theory of signal processing in time domain, and feature extraction||Be able to apply signal processing theory to practical situations|
|2.||Have knowledge and understanding of the theory of data acquisition in monitoring of mechanical systems and metal machining processes||Be able to apply to engineering scenarios and analyse performance of different monitoring systems available|
|3.||Be able to analyse and critically assess features extracted from different monitoring systems||Be able to set up different engineering application and feature extraction systems and critically assess system performance to a variety of mechanical systems and metal machining processes|
|4.||Be able to develop measurement chains in practical application||Develop a systematic approach to data acquisition for signal processing|
|5.||Have skills to apply data acquisition, analysis and visualisation tools to relevant application areas||Design measurement and monitoring systems for practical engineering applications|
Your achievement of the learning outcomes for this module will be tested as follows:
|Description||2 Hour unseen examination||Develop measurement chain to acquire process data. Assessment based on quality of design, analysis, function and documentation||Design of monitoring systems according to a given specification, realisation of different processes and analysis of process data|
There are no prerequisites for this module.
No restrictions apply.
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|Host Subject Group:||Engineering|
|User Name||Date Accessed||Action|