course-details-portlet

MAST2012 - Condition Based Maintenance

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 40/100 3 hours A
Semester Assignment 60/100

Course content

The course is taught and supervised in Norwegian. The focus of the course is the collection of condition data and the use of such data in analyzes used for decisions about the operation and maintenance of technical installations.

The course is divided into the following 4 modules

1. Predictive Maintenance:

  • Terminology related to predictive maintenance
  • Innovation processes within predictive maintenance
  • Establish goals and strategies for predictive maintenance
  • Management of predictive maintenance

2. Condition control and condition monitoring

  • Prerequisites for condition monitoring
  • Organization of condition monitoring
  • Selected methods for condition monitoring
  • Methodology for collecting condition data
  • Methodology for analysis and washing of condition data

3. Diagnosis and prognosis using condition data in:

  • Physical models
  • Mathematical/statistical models
  • Machine learning
  • Visualization of diagnosis and prognosis

4. Operation and Maintenance decisions:

  • Use of diagnosis and prognosis derived from condition data, in maintenance decisions

Learning outcome

After completing the course, the candidate should have the following basic knowledge of, skills in and general competence related to condition based operation and maintenance.

The candidate has knowledge of:

Collection of condition data, digital and analogue, on technical installations. The focus is on:

  • Predictive maintenance
  • Selection of condition parameter
  • Methods for collecting analogue and digital condition data
  • Equipment for collecting condition data with particular focus on:
    • Internet-based solutions
    • Digital condition data

Use of condition data:

  • In diagnosing the condition of technical installations
  • Assessment of the remaining life of technical installations
  • In operation and maintenance decisions

How condition-based operation and maintenance can contribute to sustainable operational safety.

The candidate has the following skills:

  • Can select
    • favorable condition parameter
    • method for measuring condition parameter
    • equipment to measure condition parameters
  • Can perform
    • Collection of condition data
    • Analysis of condition data
    • Use condition data in operation and maintenance decisions

General competence: The candidate has the following competence:

Practical understanding and insight into how condition-based maintenance affects:

  • Operational safety
  • Remaining useful life
  • Sustainability
  • Health and environment
  • Economy

Ability to, on a professional basis, formulate and discuss technical solutions within predictive operation and maintenance with skilled workers and leading personnel.

Be critical and reflective about condition-based operation and maintenance.

Learning methods and activities

In addition to physical teaching, lectures are streamed and recordings placed on the NTNU's digital learning platform.

Ways of teaching and teaching activities include, but are not limited to:

  • Interactive lectures
  • Digital exercises
  • Supervised exercises
  • Laboratory exercises
  • Project work / problem based learning in groups (semester assignment)

Mandatory work requirements:

Access to final examination is granted when the candidate has delivered and had approved:

  • A specified number of digital Quiz ‘es (individually)
  • A specified number of bloggs (indiviually)
  • A membership in a semester assignment group (individual registration)
  • An collaboration agreement for semester assignment group (group submission)
  • An A3 presentation of semester assignment (group submission)
  • A video summarizing the results of the semester assignment (group submission)

The mandatory work requirements must be delivered on the digital learning platform used at NTNU.

Compulsory assignments

  • Video - semester assignment results
  • A3 Presentation of semester assignment
  • Group registration semester assignment
  • Agreement of cooperation semester assignment
  • Digital Quiz
  • Blogg

Further on evaluation

Mandatory work from previous semester can be accepted by the Department by re-take of an examination if there have not been any significant changes later.

The assessment (A-F) in this course is based on :

  • a written "school exam" Inspera which counts for 40% of the total grade
  • and a group assignment submitted in Inspera which counts for 60% of the total grade.
  • Students must pass both the "school exam" and the group assignment.

Allowed exam aids: All printed and handwritten aids, all calculators.

Re-sit examination in August. If there is a re-sit examination, the examination form may be changed from written to oral.

Continuation and voluntary repetition / improvement can be carried out for some sub-evaluations without having to reassess both sub-evaluations in a topic (on the condition that the subject has not changed the assessment system). There is an opportunity to complain about partial assessments in this topic before all sub-evaluations have been completed.

Course materials

Will be announced at the start of the course.

Online resources found in the NTNU library and the National Library are used in the course.

The book - An introduction to predictive maintenance av R. Keith Mobley (1943-) is reccomended. Found in the digital format at the NTNU library

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Intermediate course, level II

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Operations and Maintenance Management
  • Operation technology
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mechanical and Industrial Engineering

Timetable

List view
Calendar view

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 40/100 A INSPERA
Room Building Number of candidates
Spring ORD Semester Assignment 60/100 INSPERA
Room Building Number of candidates
Summer UTS School exam 40/100 A INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

More on examinations at NTNU