In order to understand the basics in the field of measurement engineering, sensors, measurement system configurations, data processing will be taught through hands-on work. Moreover, statistical analysis, reliability of measured data, and sensing machine systems containing various sensors will be offered.
The purpose of this course is to understand various sensing devices, measurement systems, data processing, data analysis, and evaluation of obtained results.
|✔ Applicable||How instructors' work experience benefits the course|
|This course will be offered using some examples in clinical field, since one instructor has experience at a biomedical engineering company.|
sensor, measurement, signal processing, statistical analysis
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
This course will be offered by lecture in class and combined with PC-based exercise at home. Please install Arduino software and MATLAB prior to the first class. (It takes two hours to install all software in some case.)
|Course schedule||Required learning|
|Class 1||Introduction of various sensors, training using Arduino and CdS cells, systematization technology (A / D conversion, sampling theorem, aliasing)||1) Take pictures of the 3 types of sensors used in your daily life, paste them in Word, etc., add comments about the sensor (sensor name, physical quantity to be detected, etc.), convert it to a PDF file, and upload the file to OCW. 2) Install the Arudino hardware support package of MATLAB, reading the instruction on the following site. https://jp.mathworks.com/matlabcentral/answers/uploaded_files/41209/SupportPackage_InstallGuide_for_Arduino.pdf|
|Class 2||MATLAB Tutorial https://jp.mathworks.com/learn/tutorials/matlab-onramp.html||Take a tutorial on-line course of MATLAB and upload the certificate file to OCW.|
|Class 3||MATLAB signal processing basic practice (graph display), connecting MATLAB and Arduino and displaying CdS cell output on MATLAB||Measure something in your daily life, using sensors (the subject of measurement will be explained in class). Connect the MATLAB and Arduino to display the sensor output on the MATLAB graph. Paste the graph (or screenshot) to Word file, add comments (what you noticed in this measurement experiment, etc.), and upload its PDF file to OCW.|
|Class 4||Signal processing (ensemble average, moving average), Fourier transform (power, phase, continuous / discontinuous, Gibbs phenomenon, window function), signal processing with MATLAB||Using MATLAB, analyze the measurement results obtained in the previous exercise in frequency domain. Paste the time domain graph and the frequency domain graph (power spectrum) into the word, add comments (what you noticed in this measurement experiment, etc.), and upload the PDF file to OCW.|
|Class 5||Statistical analysis (variance, SD, error function)||By using MATLAB, statistical parameters are calculated with a m-file.|
|Class 6||Reliability (traceability, uncertainty, calibration)||By using MATLAB, relationship amoung parameters are calculated with graphs.|
|Class 7||Measurement system (CMM, roughness gauge, material testing machine)||By using MATLAB, analysis exercise with experimental data are carried out.|
The lecture materials will be uploaded to OCW-i. Please download by the day before the class. May not be available during or immediately before class.
「計測システム工学の基礎」西原主計，山藤和男，森北出版 (Japanese textbook only)
The evaluation is based on reporting assignments.
This class uses Arduino and photocells, i.e., CdS cells or photoregisters.
If you do not have Arduino, you can purchase at the following shop.
ELEGOO UNO R3 stater kit (1840 yen + delivery fee)
In class, we will use the CdS cell (photo register) included in the above kit. If you have an Arduino but don't have a photo register, you can buy it at Akizuki Denshi's online shop, Sengoku Densho's online shop, or Amazon.
CdS cell only (30 yen + delivery fee)
A part kit including CdS cell, bread board, jumper cables, and others. (2546 yen + delivery fee )