MAST2012
Condition Based Operation and Maintenance
Spring
Trondheim
Norwegian
About this course
Content
The course is taught and supervised in Norwegian.
The course focuses on the collection of condition data and the use of such data in decisions regarding the operation and maintenance of technical installations.
The course is divided into the following 4 modules:
Condition based maintenance (CBM) with a focus on:
- Terminology
- Establishing goals and strategies for CBM
- Management of CBM
Collection and Processing of Condition Data with a focus on:
- Selected methods for collecting condition data
- Processing of condition data
Condition Data Used in Diagnosis and Prognosis with a focus on:
- Mathematical/statistical models
- Brief introduction to machine learning
- Visualization of diagnosis and prognosis
- Condition data used in control engineering
Operations and Maintenance Decisions:
- Use of diagnosis and prognosis derived from condition data in maintenance decisions
Learning outcomes
After completing the course, the candidate will have the following fundamental knowledge, skills, and general competence related to condition-based operations and maintenance.
The candidate has knowledge of:
- Condition based maintenance
- Collection of condition data, both digital and analog, on technical installations. The focus is on:
- Methods for collecting analog and digital condition data
- Equipment for collecting condition data, with a particular focus on internet-based solutions
- Use of condition data in:
- Diagnosing the condition of technical installations
- Remaining useful life analysis
- Assessing the remaining lifetime of technical installations
- Operations and maintenance decisions
- Control engineering
The candidate has the following skills:
- Can select:
- Method for measuring condition parameters
- Equipment for measuring condition parameters
- Can perform:
- Collection of condition data
- Processing of condition data
- Analysis of condition data
- Use of condition data in operations and maintenance decisions
General Competence: The candidate has the following competence:
- Practical understanding and insight into how condition-based maintenance affects:
- Operational reliability
- Lifetime
- Sustainability
- Health and environment
- Economy
- Ability to formulate and discuss technical solutions within predictive operations and maintenance with skilled workers and leading personnel on a professional basis.
- Ability to critically and reflectively approach condition-based operations and maintenance.
Teaching methods
In addition to physical teaching, lectures will be streamed and recordings will be made available on NTNU’s digital learning platform.
Learning methods and activities include, but are not limited to:
- Interactive lectures using digital tools
- Digital exercises
- Exercises in the classroom
- Laboratory exercises in groups
- Project work / problem-based learning in groups (graded semester assignment)
Students will submit a graded semester assignment in groups. It is expected that students themselves will be the driving force in completing the semester assignment.
Mandatory coursework requirements:
To be eligible for the exam, the candidate must have submitted and received approval for the following:
- Digital quizzes - a specified number (individual submission)
- Registered in a semester assignment group (individual registration)
- Collaboration agreement for the semester assignment group (group submission)
- A3 poster presenting the semester assignment (group submission)
The mandatory coursework requirements must be submitted on NTNU’s digital learning platform.