Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Monitoring of machine tools and machining processes:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Monitoring of machine tools and machining processes
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Mechatroniki
Nauczyciel odpowiedzialny Andrzej Bodnar <Andrzej.Bodnar@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 15 2,00,50zaliczenie
wykładyW1 30 2,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Basic knowledge on machine tools and cutting. Basics of measurements – sensors and methods.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The lecture gives basic knowledge on theory and methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. Many practical examples of diagnostic processes and monitoring systems are presented. They are mainly connected with machine tools and machining processes. The course will give students basic knowledge necessary for using and developing simple monitoring systems.
C-2Student can use basic theoretical knowledge about methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. tudent Student can determine the structure of simple diagnostic and monitoring systems.
C-3Student can cooperat effectively in a team.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Diagnostic data classification and different techniques of signal processing for failure or disturbance detection (e.g. FFT, STFT, WT, correlation, PCA etc.).15
15
wykłady
T-W-1Diagnostics and monitoring of systems and processes. Main concept. Role of system modelling. Selection of signals and signal processing. Symptoms. Classification problems. Limit values. Examples of monitoring algorithms. Failures in machine tool subsystems. Ccutting process disturbances. Cutting process and cutting tool monitoring problems. Practical applications – examples of machine tools monitoring, monitoring of cutting process stability, monitoring of rotating machinery.30
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Doing laboratory works15
A-L-2Studying program manuals5
A-L-3Studying books and internet sources25
A-L-4Preparing reports15
60
wykłady
A-W-1Lectures30
A-W-2Preparation to tests12
A-W-3Studying books and Internet sources12
A-W-4Preparation to tests6
60

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture and laboratory

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: Two term-time tests, laboratory reports.
S-2Ocena podsumowująca: Final test.
S-3Ocena formująca: Observation of student;s activity.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WIMiM_1-_??_W01
Student knows theory and methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. Student knows many practical examples of diagnostic processes and monitoring systems, especially those connected with machine tools and machining processes.
C-1T-W-1M-1S-1, S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WIMiM_1-_??_U01
Students can effectively use monitoring systems, can build formulea for signals processing, can formulate symptoms and determine limit values. .
C-2T-L-1M-1S-2, S-1

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WIMiM_1-_??_K01
Students can cooperate in a team.
C-3T-L-1M-1S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_??_W01
Student knows theory and methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. Student knows many practical examples of diagnostic processes and monitoring systems, especially those connected with machine tools and machining processes.
2,0
3,0Student possessed basic knowledge in the subject.
3,5
4,0Student knows practical examples of diafgnostic and monitoring systems, knows methods of determination symptoms and their limit values..
4,5
5,0Student knows many practical examples of diafgnostic and monitoring systems, knows many methods of determination symptoms and their limit values..

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_??_U01
Students can effectively use monitoring systems, can build formulea for signals processing, can formulate symptoms and determine limit values. .
2,0
3,0Student can solve some theoretical and practical problems methods. During the tests solved at least 65% of problems.
3,5
4,0Student can solve theoretical and practical problems methods. During the tests solved at least 75% of problems.
4,5
5,0Student can solve theoretical and practical problems using optimal methods. During the tests solved at least 90% of problems.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_??_K01
Students can cooperate in a team.
2,0
3,0Student effectively cooperates in the group.
3,5
4,0
4,5
5,0Student effectively cooperates in the group and can take a role of the leader.

Literatura podstawowa

  1. Rowland J.R., Linear Control Systems. Modeling, analysis, and design, John Wiley, New York, 1986
  2. Clarence W. de Silva, Modeling and control of engineering systems, CRC Press/Taylor & Francis Group, 2009
  3. Natke H.G., Cempel C., Model-Aided Diagnosis of Mechanical Systems. Fundamentals, Detection, Localization, Assessment, Springer, Berlin, 1997

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Diagnostic data classification and different techniques of signal processing for failure or disturbance detection (e.g. FFT, STFT, WT, correlation, PCA etc.).15
15

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Diagnostics and monitoring of systems and processes. Main concept. Role of system modelling. Selection of signals and signal processing. Symptoms. Classification problems. Limit values. Examples of monitoring algorithms. Failures in machine tool subsystems. Ccutting process disturbances. Cutting process and cutting tool monitoring problems. Practical applications – examples of machine tools monitoring, monitoring of cutting process stability, monitoring of rotating machinery.30
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Doing laboratory works15
A-L-2Studying program manuals5
A-L-3Studying books and internet sources25
A-L-4Preparing reports15
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Lectures30
A-W-2Preparation to tests12
A-W-3Studying books and Internet sources12
A-W-4Preparation to tests6
60
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_??_W01Student knows theory and methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. Student knows many practical examples of diagnostic processes and monitoring systems, especially those connected with machine tools and machining processes.
Cel przedmiotuC-1The lecture gives basic knowledge on theory and methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. Many practical examples of diagnostic processes and monitoring systems are presented. They are mainly connected with machine tools and machining processes. The course will give students basic knowledge necessary for using and developing simple monitoring systems.
Treści programoweT-W-1Diagnostics and monitoring of systems and processes. Main concept. Role of system modelling. Selection of signals and signal processing. Symptoms. Classification problems. Limit values. Examples of monitoring algorithms. Failures in machine tool subsystems. Ccutting process disturbances. Cutting process and cutting tool monitoring problems. Practical applications – examples of machine tools monitoring, monitoring of cutting process stability, monitoring of rotating machinery.
Metody nauczaniaM-1Lecture and laboratory
Sposób ocenyS-1Ocena formująca: Two term-time tests, laboratory reports.
S-2Ocena podsumowująca: Final test.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student possessed basic knowledge in the subject.
3,5
4,0Student knows practical examples of diafgnostic and monitoring systems, knows methods of determination symptoms and their limit values..
4,5
5,0Student knows many practical examples of diafgnostic and monitoring systems, knows many methods of determination symptoms and their limit values..
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_??_U01Students can effectively use monitoring systems, can build formulea for signals processing, can formulate symptoms and determine limit values. .
Cel przedmiotuC-2Student can use basic theoretical knowledge about methods used for diagnosing machines, machine tools and cutting processes, their monitoring or supervision. tudent Student can determine the structure of simple diagnostic and monitoring systems.
Treści programoweT-L-1Diagnostic data classification and different techniques of signal processing for failure or disturbance detection (e.g. FFT, STFT, WT, correlation, PCA etc.).
Metody nauczaniaM-1Lecture and laboratory
Sposób ocenyS-2Ocena podsumowująca: Final test.
S-1Ocena formująca: Two term-time tests, laboratory reports.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student can solve some theoretical and practical problems methods. During the tests solved at least 65% of problems.
3,5
4,0Student can solve theoretical and practical problems methods. During the tests solved at least 75% of problems.
4,5
5,0Student can solve theoretical and practical problems using optimal methods. During the tests solved at least 90% of problems.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_??_K01Students can cooperate in a team.
Cel przedmiotuC-3Student can cooperat effectively in a team.
Treści programoweT-L-1Diagnostic data classification and different techniques of signal processing for failure or disturbance detection (e.g. FFT, STFT, WT, correlation, PCA etc.).
Metody nauczaniaM-1Lecture and laboratory
Sposób ocenyS-3Ocena formująca: Observation of student;s activity.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student effectively cooperates in the group.
3,5
4,0
4,5
5,0Student effectively cooperates in the group and can take a role of the leader.