Ⅰ. General Information
Course Code | MEE36200E | ||||||||
Course Information | Academic Discipline | Power engineering and Engineering Thermophysics | Knowledge Domain | Equipment Fault Diagnosis | |||||
Total Class Hours | 24 | Credits | 1.5 | Lecture Hours | 20 | Laboratory Hours | 4 | Computer Lab Hours | 0 |
Course Title (in Chinese) | 设备故障诊断基础 | ||||||||
Course Title (in English) | Introduction to Machinery Fault Diagnosis | ||||||||
Applicable Majors | Process Equipment and Control Engineering, Experimental Class, Safety Engineering, Mechanical Engineering and Automation | ||||||||
Semester Available | 10th semester | ||||||||
Prerequisites (Course Title) | Process Fluid Machinery，Measuring and Testing Technique | ||||||||
Corequisites (Course Title) | Vibration Measuring and Testing Technique | ||||||||
Brief Course Description | This course introduces the basic structures and working principles of rotating equipment in process industry (for example, centrifuge, reciprocating engine, pump and so on ). On the basis of the above , it analyzes the causes of rotating equipment common fault, describes the basic knowledge of such fault diagnosis technologies, as the vibration diagnosis foundation, signal processing technology, simple rotor system and gearbox fault mechanism and diagnosis method, intelligent diagnosis technology, monitoring system hardware foundation and so on. On the basis of grasping the basic working principle of equipment, students can understand the causes and harm of various types of equipment failure, combining with the equipment fault and know well about the commonly used signal analysis of the basic strategy of processing technology and the basic strategy of fault diagnosis technology. According to the analysis ,they can learn and master the basic theory and methods of fault diagnosis for typical equipment and component fault diagnosis. Finally , with the related experimental demonstrations , students will form an intuitive understanding of the equipment fault diagnosis system, understand the basic design of monitoring system of thought, increase students' practical experience and have the basic ability to fault diagnosis. | ||||||||
Ⅱ.Curriculum Nature and Course Objectives
2.1 Curriculum Nature
Basics of Equipment Fault Diagnosis is one of the elective courses for process equipment and control engineering, safety engineering, mechanical engineering and automation. The purpose is to make students familiar with and understand the relevant knowledge of equipment fault diagnosis and master the basic principles and methods of fault diagnosis section. It will lay a well foundation for subsequent production practice, professional experiment, graduation link and engaging in the design, manufacturing, operation management and equipment maintenance of chemical machinery and equipment after graduation.
2.2 Course Objectives
The objectives of the course are as follows：
G1：Through the study of equipment working mechanism and fault mechanism, the learned equipment fault diagnosis knowledge can be applied to solve the existing problems in mechanical design, manufacturing, maintenance, detection and control reflected in equipment operation.
G2：By learning the intelligent fault diagnosis method of process equipment, we can understand the cutting-edge status of process equipment and the development trend of new materials and technologies, master the basic innovative methods and approaches, and have an innovative consciousness in solving complex process equipment engineering problems.
G3：In the process of learning a large number of cases, learn to use modern engineering tools and information technology tools such as network tools, databases and computers, and be able to query relevant research materials required by complex engineering problems.
Ⅲ. The Corresponding Relationship between Course Objectives and Graduation Requirements
Graduation requirement | Index point | Course Objectives | Approach to achievement | Evaluation basis | Degree of support（H、M、L） |
Design/develop Scheme to Solution: For unit or system problems, be able to design process equipment based on design conditions with aim at functional requirements and failure modes. And in the design, innovations should be embodied and factors like society, health, safety, law, culture and environment should be considered. | 3 | G1 | Lecture and homework | Exams, after class exercises, class discussions | M |
Engineering and Society: Be able to evaluate the effects of the practice and solutions of the complicate engineering problems in the major of the process equipment and control engineering on the society, health, safety, law and culture based on the analysis of relevant engineering background knowledge, and understand responsibilities to be taken. | 6 | G1 | Lecture and homework | Exams, after class exercises, class discussions | M |
Individual and Team: Have team consciousness and cooperation aspiration, and be able to take roles as individual or team member under multi-disciplines background. | 9 | G2 | Lecture and homework | Exams, after class exercises, class discussions | L |
Project Organization: Understand and master engineering management principles and economic decision methods, and apply them in practical activities of the Process Equipment and Control Engineering under multi-discipline environments. | 11 | G3 | Lecture and homework | Exams, after class exercises, class discussions | L |
H---means“High” M---means“Middle” L---means“low”
Degree of support：Elective courses must have at least one H or M. Professional compulsory courses and core courses must have at least one H.
Ⅳ. Teaching Contents and Requirements for the Lecturing Part
4.1 Overview of equipment fault diagnosis（3Class hours）
4.1.1 Course Objectives（G1）
Understand the necessity of equipment fault monitoring, how to carry out fault diagnosis, fault diagnosis objectives and the knowledge system to be constructed for equipment fault diagnosis.
4.1.2 content of courses
（1）the necessity of equipment fault monitoring
（2）how to carry out fault diagnosis
（3）fault diagnosis objectives
（4）the knowledge system to be constructed for equipment fault diagnosis
4.1.3 Teaching requirements
Master the classification of moving equipment in process equipment, the knowledge system to be built for the basis of equipment fault diagnosis and the purpose of fault diagnosis, and understand the harm caused by equipment faults and accidents to the enterprise and society.
4.2 Basic methods of equipment condition monitoring, data acquisition and signal processing（11Class hours）
4.2.1 Course Objectives（G2）
Master the data acquisition principles, principles and signal processing methods required for equipment fault diagnosis. Students can apply the corresponding principles and methods to equipment fault diagnosis, and understand the intelligent diagnosis methods of equipment fault and the application of artificial intelligence technology (AI) in fault diagnosis.
4.2.2 content of courses
（1）Principle and characteristics of vibration sensor
（2）Principle and method of data acquisition
（3）Signal processing method for fault diagnosis
（4）Intelligent fault diagnosis method and Application
4.2.3 Teaching requirements
Understand the working principle and characteristic index of vibration sensor, and master the selection principle of sensor; Master the acquisition principle and sampling theorem of vibration data, which can be applied to the construction of equipment condition monitoring scheme; Master the signal processing methods required for equipment fault diagnosis, which can be applied to the actual dynamic equipment fault diagnosis; Understand the application method and development prospect of artificial intelligence in equipment fault diagnosis, and have the ability to further learn fault intelligent diagnosis.
4.3 Working principle, fault generation mechanism, fault diagnosis methods and fault cases of mobile equipment（18Class hours）
4.3.1 Course Objectives（G1、G3）
Master the basic principle of moving equipment, equipment fault generation mechanism and fault diagnosis methods. Students can apply fault diagnosis methods to diagnose typical fault workers of moving equipment, and have the ability to analyze typical cases and write fault analysis reports.
4.3.2 content of courses
（1）Working principle of centrifugal compressor
（2）Mechanism of typical faults of centrifugal compressor
（3）Fault analysis and diagnosis method of centrifugal compressor
（4）Typical fault case analysis of centrifugal compressor
（5）Working principle of reciprocating compressor
（6）Mechanism of typical faults of reciprocating compressor
（7）Fault analysis and diagnosis method of reciprocating compressor
（8）Typical fault case analysis of reciprocating compressor
（9）Working principle of centrifugal pump
（10）Typical failure mechanism of centrifugal pump
（11）Fault analysis and diagnosis method of centrifugal pump
（12）Typical fault case analysis of centrifugal pump
4.3.3 Teaching requirements
Understand the working principle of process equipment moving equipment (centrifugal compressor, reciprocating compressor and centrifugal pump), and master the typical fault generation mechanism and corresponding analysis methods of moving equipment; Master the diagnosis methods of common fault cases of rotating equipment, and have the basic criteria to judge whether the equipment has faults.
4.4 Implement curriculum thought and Politics
The basic technology of equipment fault diagnosis is a technology of "seeing a doctor" for equipment. The "equipment" mentioned here is equipment in a broad sense, including not only all kinds of operating equipment, but also static equipment such as pipelines, valves, industrial furnaces and electrical equipment. These equipment are closely related to the national economy and the people's livelihood. It is of great significance to strengthen and implement the ideological and political course of equipment fault diagnosis. In order to strengthen the close connection between the foundation of equipment fault diagnosis and engineering practice, certain ideological and political contents are set in the course. During the introduction of the basic course of equipment fault diagnosis, it introduces that China has made great progress in equipment fault diagnosis technology since the 1980s, which can enhance students' cultural confidence in China's science and technology, especially testing technology and computer technology. When analyzing domestic typical fault diagnosis cases, it introduces that while learning the advanced technology of foreign developed countries, China continues to break through itself for innovation, puts forward advanced vibration detection technology and signal analysis methods, successfully solves the on-site vibration problems of multiple units, significantly improves China's equipment condition monitoring and fault diagnosis technology, and not only wins honor for the country, It also effectively reduces the incidence of production accidents caused by equipment failure in the factory. The introduction of these contents enables students to cultivate their feelings of family and country and their sense of responsibility to the country and society while learning the course contents.
Ⅴ.Teaching Contents and Requirements for the Practical Part
Rolling bearing fault simulation experiment, and the experimental report is required to be completed;
Rotor dynamic balance experiment, the report is required to be completed.
Ⅵ. Evaluation Standards
6.1 Assessment method and content
The assessment methods of this course include process assessment and final examination. The process assessment includes classroom performance (including attendance and participation), exercise homework, etc; The final examination is an open book written examination, with short answer questions, case analysis questions, etc.
The final assessment of the course is a comprehensive assessment of the process assessment and final examination, which is used as the basis for the assessment of the achievement of the course objectives, as shown in the table below.
Table2 Course assessment method, content and its proportion
Assessment method | Assessment method | Proportion | Main assessment contents |
Process assessment （40%） | Attendance | 5% | Check-on Attendance |
Ask questions in class | 5% | Ask questions in class, group discussion | |
Assignment | 30% | Completion level of assignment | |
Result assessment （60%） | Final examination | 60% | Teaching content supporting subject objectives |
Table 3 course assessment methods and contents and their supporting relationship to course objectives
Course Objectives | Score | Assessment method | Proportion of score assessment methods | Main assessment contents |
G1 | 20 | Classroom participation | 10% | Attendance, questions, group discussions, etc |
Assignments | 30% | Completion of homework after class | ||
final examination | 60% | Teaching content supporting course objective G1 | ||
G2 | 40 | Classroom participation | 10% | Attendance, questions, group discussions, etc |
Assignments | 30% | Completion of homework after class | ||
final examination | 60% | Teaching content supporting course objective G2 | ||
G3 | 40 | Classroom participation | 10% | Attendance, questions, group discussions, etc |
Assignments | 30% | Completion of homework after class | ||
final examination | 60% | Teaching content supporting course objective G3 |
6.2 Scoring criteria
The scoring criteria for classroom performance (including attendance and participation) and exercise assignments are shown in table 3-4. The final examination shall be scored according to the scoring standard of the final examination paper of the current time.
Table 4 scoring criteria for classroom performance
Assessment index | weight | 100-90 | 89-80 | 79-70 | 69-60 | 59-0 |
Attendance | 40% | Full attendance | Miss class once | Miss class twice | Miss class three times | Miss class more than three times |
question | 60% | All right | Basically correct | Correct thinking | Correct direction | incorrect |
Table 5 scoring criteria for exercise assignments
Assessment index | weight | 100-90 | 89-80 | 79-70 | 69-60 | 59-0 |
Assignment 1 | 50% | excellent | good | normal | bad | Plagiarize |
Assignment 2 | 50% | excellent | good | normal | bad | Plagiarize |
Ⅶ.Textbooks and Recommended References
7.1Textbooks
QG Shen, SY Zheng, mechanical fault diagnosis, chemical industry press, March 2006
7.2Recommended References
[1] GA Yang, practical technology of mechanical equipment fault diagnosis, China Petrochemical Press, August 2007
[2] ZN Jiang, JJ Zhang, B Ma. Reciprocating compressor fault monitoring and diagnosis technology, Science Press, December 2017
[3]George Vachtsevanos, et.al..《Intelligent Fault Diagnosis and Prognosis for Engineering Systems》，John Wiley & Sons, Inc., Hoboken, New Jersey, Sep., 2006.
[4] XF Chen, YY Zi, et al. Intelligent operation and maintenance and health management, China Machine Press, November 2018
[5] ZS Sheng, QL Yin. Equipment condition monitoring and fault diagnosis technology, chemical industry press, June 2003
Author of the syllabus: Zhinong jiang, Minghui Hu
Course leader: Zhinong Jiang
Syllabus Reviewer: Chenghong Duan