Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S1)

Sylabus przedmiotu Fault detection and diagnosis in engineering systems:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom pierwszego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Fault detection and diagnosis in engineering systems
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Mechatroniki
Nauczyciel odpowiedzialny Andrzej Bodnar <Andrzej.Bodnar@zut.edu.pl>
Inni nauczyciele Andrzej Bodnar <Andrzej.Bodnar@zut.edu.pl>
ECTS (planowane) 4,0 ECTS (formy) 4,0
Forma zaliczenia zaliczenie Język polski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 15 2,00,40zaliczenie
wykładyW1 30 2,00,60zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Basic course on measurements recommended.

Cele przedmiotu

KODCel modułu/przedmiotu
C-1The course gives basic knowledge on methods used in engineering systems for fault detection and placement. Examples show how diagnostic methods can be used in different machines and processes.
C-2Laboratory helps students to get basic experience in application of knowledge obtained during lectures and studying of literature. Students understand methods and are able to identify, formulate, and solve problems connected with diagnosing faults in engineering systems. Students can use various diagnostic techniques and modern instrumentation.
C-3Student can effectively work in a team.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Signal processing for finding symptoms of faults. Spectral and cepstral analysis. Finding symptoms hidden in noise. Computerised monitoring system. Failures in drives. Fault detection through modal analysis. Applications of thermography.15
15
wykłady
T-W-1Evaluation of machine health, reliability, prognosis. Failure diagnostics techniques. Symptoms and their choice. Application of vibration and experimental modal analysis, Fourier and time-frequency transformations, signature analysis, model supported diagnostics. Modulation, sidebands, envelope, cepstrum. Diagnostic experiment planning and preparation, signal processing. Failures in rotating machines and control systems. A/D conversion, signal processing and instrumentation.30
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in laboratory15
A-L-2Studying literature20
A-L-3Report preparation.15
50
wykłady
A-W-1Participation in lectures.30
A-W-2Studying literature10
A-W-3Preparation to tests10
50

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Lecture and laboratory.

Sposoby oceny

KODSposób oceny
S-1Ocena podsumowująca: Term test and laboratory reports.
S-2Ocena podsumowująca: Observation of student's work.

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-_null_W01
The course gives basic knowledge on methods used in engineering systems for fault detection and placement. Students know how diagnostic methods can be used in different machines and processes.
C-1T-W-1M-1S-1

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-_null_U01
Students have basic experience in application of knowledge obtained during lectures and studying of literature. Students understand methods and are able to identify, formulate, and solve problems connected with diagnosing faults in engineering systems. Students can use various diagnostic techniques and modern instrumentation.
C-2T-L-1M-1S-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-_null_K01
Students can effectively work in groups. Students undertand the role of continuous widenin and deepening of their knoledge and experiense.
C-3T-L-1M-1S-2

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_null_W01
The course gives basic knowledge on methods used in engineering systems for fault detection and placement. Students know how diagnostic methods can be used in different machines and processes.
2,0
3,0Students possessed basic knowledge in the subject.
3,5
4,0Student understands rules and methods used in the subject.
4,5
5,0Student understands rules and methods used for solving problems. Student can choose optimal ways to solve them.

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_null_U01
Students have basic experience in application of knowledge obtained during lectures and studying of literature. Students understand methods and are able to identify, formulate, and solve problems connected with diagnosing faults in engineering systems. Students can use various diagnostic techniques and modern instrumentation.
2,0
3,0Student wrote correcttly all laboratory reports. Student can solve at least 65% of problems given at the test.
3,5
4,0Student can use basic rules and methods for solving practical problems. During the test solved at least 75% of problems.
4,5
5,0Student can solve theoretical and practical problems using optimal methods. During the tests and the exam solved at least 90% of problems.

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WIMiM_1-_null_K01
Students can effectively work in groups. Students undertand the role of continuous widenin and deepening of their knoledge and experiense.
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. Monolakis D.G., Ingle V.K.:, Applied digital signal processing., Cambridge Univ. Press, 2011
  2. Randall R.B.:, Vibration-based condition monitoring., Wiley, New York, 2011

Literatura dodatkowa

  1. Natke H.G., Cempel Cz.:, Model-aided diagnosis of mechanical systems. Fundamentals, detection, localization, assessment., Springer, Berlin, 1997
  2. Yan J.:, Machinery prognostics and prognosis oriented maintenance management., Wiley, 2015

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Signal processing for finding symptoms of faults. Spectral and cepstral analysis. Finding symptoms hidden in noise. Computerised monitoring system. Failures in drives. Fault detection through modal analysis. Applications of thermography.15
15

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Evaluation of machine health, reliability, prognosis. Failure diagnostics techniques. Symptoms and their choice. Application of vibration and experimental modal analysis, Fourier and time-frequency transformations, signature analysis, model supported diagnostics. Modulation, sidebands, envelope, cepstrum. Diagnostic experiment planning and preparation, signal processing. Failures in rotating machines and control systems. A/D conversion, signal processing and instrumentation.30
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in laboratory15
A-L-2Studying literature20
A-L-3Report preparation.15
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in lectures.30
A-W-2Studying literature10
A-W-3Preparation to tests10
50
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_null_W01The course gives basic knowledge on methods used in engineering systems for fault detection and placement. Students know how diagnostic methods can be used in different machines and processes.
Cel przedmiotuC-1The course gives basic knowledge on methods used in engineering systems for fault detection and placement. Examples show how diagnostic methods can be used in different machines and processes.
Treści programoweT-W-1Evaluation of machine health, reliability, prognosis. Failure diagnostics techniques. Symptoms and their choice. Application of vibration and experimental modal analysis, Fourier and time-frequency transformations, signature analysis, model supported diagnostics. Modulation, sidebands, envelope, cepstrum. Diagnostic experiment planning and preparation, signal processing. Failures in rotating machines and control systems. A/D conversion, signal processing and instrumentation.
Metody nauczaniaM-1Lecture and laboratory.
Sposób ocenyS-1Ocena podsumowująca: Term test and laboratory reports.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Students possessed basic knowledge in the subject.
3,5
4,0Student understands rules and methods used in the subject.
4,5
5,0Student understands rules and methods used for solving problems. Student can choose optimal ways to solve them.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_null_U01Students have basic experience in application of knowledge obtained during lectures and studying of literature. Students understand methods and are able to identify, formulate, and solve problems connected with diagnosing faults in engineering systems. Students can use various diagnostic techniques and modern instrumentation.
Cel przedmiotuC-2Laboratory helps students to get basic experience in application of knowledge obtained during lectures and studying of literature. Students understand methods and are able to identify, formulate, and solve problems connected with diagnosing faults in engineering systems. Students can use various diagnostic techniques and modern instrumentation.
Treści programoweT-L-1Signal processing for finding symptoms of faults. Spectral and cepstral analysis. Finding symptoms hidden in noise. Computerised monitoring system. Failures in drives. Fault detection through modal analysis. Applications of thermography.
Metody nauczaniaM-1Lecture and laboratory.
Sposób ocenyS-1Ocena podsumowująca: Term test and laboratory reports.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student wrote correcttly all laboratory reports. Student can solve at least 65% of problems given at the test.
3,5
4,0Student can use basic rules and methods for solving practical problems. During the test solved at least 75% of problems.
4,5
5,0Student can solve theoretical and practical problems using optimal methods. During the tests and the exam solved at least 90% of problems.
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WIMiM_1-_null_K01Students can effectively work in groups. Students undertand the role of continuous widenin and deepening of their knoledge and experiense.
Cel przedmiotuC-3Student can effectively work in a team.
Treści programoweT-L-1Signal processing for finding symptoms of faults. Spectral and cepstral analysis. Finding symptoms hidden in noise. Computerised monitoring system. Failures in drives. Fault detection through modal analysis. Applications of thermography.
Metody nauczaniaM-1Lecture and laboratory.
Sposób ocenyS-2Ocena podsumowująca: Observation of student's work.
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.