Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359857	Fault-Diagnosis Systems	1	3.0	3	★	Cong-Sheng Huang	GEE IEECSG	0	0	Jointly offered by Electrical Engineering department.

Course Plan：

Instructor	Cong-Sheng Huang
Email	cshuang@mail.ntut.edu.tw
Last Updated	2025-12-10 20:00:46
Course Objective	This class starts with an introduction to tasks and terminologies of supervision and fault management. The following is a rough description of the material covered in this class. 1. Reliability, Availability and Maintainability 2. Fault Modelling approaches 3. Fault detection methods 4. Fault diagnosis approaches 5. Fault-tolerant system design
Course Schedule	Week 1: Introduction, Supervision and fault management of processes — tasks and terminology Week 2: Reliability, Availability and Maintainability (RAM) Week 3: Safety, Dependability and System Integrity Week 4: Process Models and Fault Modelling Week 5: Signal models, Fault detection with limit checking Week 6: Fault detection with signal models Week 7: Fault detection with process-identification methods Week 8: Midterm Week 9: Fault detection with parity equations Week 10: Fault detection with state observers and state estimation Week 11: Fault detection of control loops Week 12: Fault detection with Principal Component Analysis (PCA) Week 13: Comparison and combination of fault-detection methods Week 14: Diagnosis procedures and problems Week 15: Fault diagnosis with classification methods Week 16: Final Week 17: Fault diagnosis with inference methods (online) Week 18: Fault-tolerant design, Fault-tolerant components and control (online)
Evaluation and grading policy	Midterm: 40%, Final: 40%, Participation: 20%.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Textbook: Isermann, Rolf, "Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance," Springer, 2006.
The access to curricular consultation	Contact me via: cshuang @ntut.edu.tw.
The course corresponds to the SDGs	SDG3：良好健康和福祉（Good Health and Well-being） SDG7：可負擔的潔淨能源（Affordable and Clean Energy） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG10：減少不平等（Reduced Inequalities） SDG12：負責任的消費與生產（Responsible Consumption and Production） SDG16：和平正義與有力的制度（Peace, Justice and Strong Institutions）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
Note	The courses on week 17 and 18 will be offered online via Microsoft Teams in response to the Notice from the University: https://oaa.ntut.edu.tw/p/406-1008-136158,r11.php?Lang=zh-tw The Microsoft Teams meeting link is: https://pse.is/5v8dhh In response to Covid-19, the teaching contents and the grading/assessments may be adjusted, and the course will be offered online. (The link will be posted in Taipei Tech i-School Plus) Contact me via: cshuang @ntut.edu.tw.