Predictive maintenance lets you schedule maintenance at just the right time—not too early and not too late. But how much do you know about predictive maintenance terms and workflows?
Answer 7 questions to test your knowledge. Get hints along the way for more information.
Question 1/7
What's the difference between predictive maintenance and scheduled maintenance?
Hint
Many engineers with little data science experience have used MATLAB to develop predictive maintenance algorithms, with the goal of reducing maintenance costs.
Question 2/7
Which of the following is a benefit of implementing predictive maintenance?
Hint
Think broadly about all the benefits predictive maintenance could offer, even if some are more important to your organization.
Question 3/7
What is the first step in developing a predictive maintenance solution?
Hint
One of these options is always required before the other three, but it can be the most difficult step in the process.
Question 4/7
What do you do if you don't have enough failure data to build accurate predictive maintenance algorithms?
Hint
Collecting more data is always helpful, but when failures are scarce, other approaches may be needed as well.
Question 5/7
What iterative process comes before training a predictive algorithm, and often requires deep domain knowledge for the best results?
Hint
This process might include time-domain, frequency-domain, and physics-based techniques.
Question 6/7
What term refers to an up-to-date virtual representation of a physical system that can be used for predictive maintenance, operations optimization, and more?
Hint
While it is technically a simulation, there’s a more specific term for it.
Question 7/7
What technology is often used to deploy predictive maintenance algorithms in operation?
Hint
This technology enables remote storage, computation, and execution.
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Answer Key
- What's the difference between predictive maintenance and scheduled maintenance?
Predictive maintenance uses sensor data, but scheduled maintenance does not. - Which of the following is a benefit of implementing predictive maintenance?
All of the above - What is the first step in developing a predictive maintenance solution?
Collecting data from machine sensors - What can you do if you don't have enough failure data to build accurate predictive maintenance algorithms?
All of the above - What iterative process comes before training a predictive algorithm, and often requires deep domain knowledge for the best results?
Feature engineering - What term refers to an up-to-date virtual representation of a physical system that can be used for predictive maintenance, operations optimization, and more?
Digital twin - What technology is often used to deploy predictive maintenance algorithms in operation?
Cloud
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