COURSE UNIT TITLE

: BASES AND TECHNIQUES OF PREDICTIVE MAINTENANCE

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAK 4077 BASES AND TECHNIQUES OF PREDICTIVE MAINTENANCE ELECTIVE 3 0 0 4

Offered By

Mechanical Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR HASAN ÖZTÜRK

Offered to

Mechanical Engineering
Mechanical Engineering

Course Objective

The objective of this course is to teach the basis of the condition monitoring of machines and techniques used for fault detection.

Learning Outcomes of the Course Unit

1   To determine the reasons of machine fault
2   To use of the techniques based on the vibration
3   To identify the vibration signal with techniques of the time and frequency domains
4   To determine the fault detection of gearbox, bearing and shaft etc. by using time and frequency domains.
5   To make the experimental work.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction condition monitoring and maintenance
2 Description of the machine faults
3 Condition monitoring methods and Sensors
4 Condition monitoring and maintenance methods based on vibration
5 Statistic methods
6 Frequency analysis
7 Signal demodulation and Cepstrum analyses
8 Detection of the balancing, misalignment, looseness faults etc ..
9 Bearing Faults
10 Laboratory
11 Mid-term.
12 Gearbox faults
13 Advanced techniques based on vibration method
14 Laboratory

Recomended or Required Reading

1. Vibratory condition monitoring of machines. ,J.S. Rao. CRC,New Delhi,1999
2. Machinery Vibration. , V. Wowk, McGraw-Hill,, New York, 1991
3. Gear noise and vibration, J.D. Smith, Marcel Dekker Inc. New Yor, 2003
4. An introduction to predictive maintenance, R.K. Mobley, Butterworth Heinemann, New York, 2002
5. Frequency analysis, R.B. Randall, B&K, 1987

Planned Learning Activities and Teaching Methods

Power Point Presentation + Homework + Laboratory

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 LAB LABORATORY
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE * 0.25 + ASG * 0.10 + LAB * 0.15 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 + ASG * 0.10 + LAB * 0.15 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Homework is assigned to the students after 3 weeks. Students strengthen their learning by solving homework. The successes of the students are evaluated by homework, laboratory, 1 mid-term exam and 1 final exam.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hasan.ozturk@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 10 3 30
Tutorials 2 3 6
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Preparing assignments 1 10 10
Preparing presentations 1 3 3
Laboratory 2 8 16
Final 1 2 2
Midterm 1 2 2
Quiz etc.(Laboratory) 1 2 2
TOTAL WORKLOAD (hours) 103

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.1322233233333333
LO.232233132333333
LO.333233133333343
LO.433233133333333
LO.53543423333434

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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