Technical Diagnostics

Year
1

Academic year
2017-2018

Code
02029711

Subject Area
Mechanical Engineering Sciences

Language of Instruction
English

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
5.0

Type
Compulsory

Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Not applicable.

Teaching Methods

Not applicable.

Learning Outcomes

The Technical diagnostics course acquaints the students with the importance, technology and economic feasibility of the maintenance process using technical diagnostics. In scope of the course, the students will first be familiarized with operational reliability, maintainability and availability of production systems. They will learn about the types and sources of damage, and about consequent primary and secondary losses. They will learn to determine the critical points in production devices, and master the necessary technology for planned maintenance and for condition-based maintenance. The basic course goal is to acquaint the students with the condition monitoring systems, and with pre-processing and processing of signals, carrying the indication about a fault occurrence. The practical goal of the course is to educate the students for the practical application of diagnostic systems.

Work Placement(s)

Syllabus

1. Introduction. 2. Theoretical foundations. 3. Technical system faults and malfunctions. 4. Failure indicators. 5. Diagnostic. 6. Condition monitoring systems. 7. Condition monitoring techniques. 8. Condition diagnosing system. 9. Sampling, analysing and evaluating particles in oil; 10. Damage classification and analysis systems; 11. Examples of practical system monitoring and proposals for the introduction of diagnostic systems to maintenance.

Assessment Methods

Assessment
The exam consists of a written part and oral questioning (50%/50%). Laboratory work (100%). Overall grade is from exam/laboratory work (100%/100%).: 100.0%

Bibliography

1. D. Palmer: Maintenance Planning and Scheduling Handbook, McGraw-Hill,1999.

2. C. Scheffer, P. Girdhar: Machinery Vibration Analaysis and Predictive Maintenance, Elsevier, 2004.

3. C. T. Hatch, B. Grissom: Fundamentals of Rotating machinery Diagnostics, Bently, 2002.

4. H.-J. Weidemann: Schwingungsanalyse in der Antriebstechnik, Springer, 2003.