
In this lesson, Predictive maintenance is defined and its possible implications in maintenance and plant management are explained.
In this lesson, students will deepen the implications of predictive maintenance in maintenance and plant management and that predictive maintenance is not just a maintenance tool.
In this lesson it's explained how predictive maintenance can positively affect product quality and production efficiency.
In this lesson students will start learning generalties of predictive maintenance techinques and in particular what vibration analysis is and what it can be used for in a comprehensive predictive maintenance program.
In this lesson studens will learn general aspects of thermography and tribology.
In this lecture, a few words will be spent to describe ultrasonic and operating dynamic analysis.
In this lesson students will learn about the main predictive controls on electric motor and electrical equipment.
In this lesson you will learn basics of visual inspection technique and the importance of process parameters for managing maintenance.
In thi lecture students will learn about the cost of raising up a predictive maintenance program. Variables that influence the total cost of the program will be analysed.
In this lesson students will learn which benefits a comprehensive predictive maintenance program will bring to the company. A real case results will be presented to give concrete numbers.
In this lecture students will learn what vibration is and the basic physical model of the simple oscillator used to describe it.
In this lecture, students will learn which are the origins of vibrations in machinery and will learn in detail the main characteristics that describes vibrations, which are frequency, displacement, velocity, acceleration and phase.
In this lesson students will learn which are the machine that goes under the classification of rotating machinery and how vibrations can affect the operating condition of rotating machine trains.
In this lesson students will learn generalties about reciprocating and Linear machinery and how vibrations can affect their operating condition.
From this lecture on, we will deepen machine components dynamics in order to understand how vibration analysis can be used to identify incipient failures. We wil start by analysing bearings dynamics, some of the most diffused components in mechanical equipment.
In this lesson we will understand gears dynamics and how to use vibration analysis to monitor their condition.
As done for bearings and gears, blade/vanes and belt drives dynamics will be analysed to understand how vibration analysis work for these components.
In this lesson we will learn why certain speeds within a machine are important to determine machine's behaviour.
In this lecture students will learn what vibration mode shapes are and what happen to systems in resonant condition.
In this lesson students will learn what preloads and induced loads are and how these concepts can influence machine failures mechanisms.
In this lecture, most common failure modes on machine components are presented such as imbalance, misalignment, bent shaft, mechanical looseness and mechanical rub.
After studying failure modes of machine components we will study the failure mode of the most common machines, what and how to measure vibrations on the same.
In this lecture students will learn how to se up a database for a manual data collecting system. We will study how to classify machines in order of importance to set priorities and how to optimize the data collection process taking into account the available resources.
In this lecture students will understand the main limits of instruments for data acquistition in terms of resolution and limits of frequency and the main methods used to set alert and alarm limits.
In this lecture students will learn about the three main type of instruments for vibration analysis, their working principles, their advantages and weak points.
In this lesson students will learn about the different type of system fo data collection and vibration measurement.
In this lesson we will put all the pieces of the puzzle of vibration monitoring together to describe how to run correctly the program and the analysis techniques to find root causes of machine problems will be analysed. After this lessons you will have all the instruments to get the program started.
In this lesson students will learn what thermography is and what is the phisic behind it. The principles of radiation heat transfer mode will be explained. In the second part of the lesson a detailed list of infrared quipment will be given.
In this lesson some basic heat transfer theory will be discussed. The electromagnetic spectrum will be described and then few slides will treat the three different heat transfer modes: conduction, convection and radiation.
In this lecture it will be exposed a guide for choosing the more suitable instrument for thermography . Then the lesson will focus on how to make infrared measurements safely in your plant.
Then a list of common problems will be analysed with examples.
In this lecture we will focus on lubricating oil analysis technique goint through a real case study of transformers oil analysis.
In this lesson the main techniques for wear particle analysis will be explained. Then, a panorama of the different wear mechanisms and wear particles chracteristics will be given. Finally, a table with the most common material found in wear particles in relation to the wear mechanism is shown.
In this lesson you will learn about the three main limitations of tribology: Cost-benefit ratio, The issue of understanding analysis results and providing accurate samples. A maintenance engineer should always keep the focus on the global results that he will obtain with the implementation of new techniques within a global predictive maintenance program.
Predictive Maintenance Master is the complete guide to learn everything about this great maintenance engineering tool. The course covers all the management implications and the techniques that relate to predictive maintenance. As maintenance engineers you will be able to start implementing a solid predictive maintenance program defining schedules, costs and designing every aspect of It. As maintenance technicians, you will find a lot of useful notions and practical suggestions on how to perform predictive controlla and analysis. The course starts by defining predictive maintenance and its perimeter, and explaining how this maintenance tool can improve production and product quality.
Then the course goes on giving a general overview of the main predictive maintenance techniques that will be deepened in detail further on. Notions will be given about vibration monitoring, Thermography, Tribology, Ultrasonics, electric motor analysis, process parameters analysis, Visual inspections and other techniques.
At this point details about program costs and benefits are given.
The core part of the course deals with the main predictive techinques in details.
Vibration analysis it's explained starting from the definition of vibration and going through the different aspects that relate to the practice of measuring and monitoring vibrations, including the causes that originate them. Dynamics of different mechanical components will be described.
Another important topic that relates to vibration analysis, is the implementation of a data collecting system and database. Information will be given on how to analyse data collected and how to set alert and alarm limits.
The course goes on, giving students a panorama of the existing instruments and installed systems to measure vibrations and the main trending techniques.
After vibration analysis thermography, tribology and ultrasonics are explained in details, as done for vibrations analysis.