10.2.1.2. Fault Detection with Machine Learning

Try these first

1. 1.

   What is machine learning?

   Hint

   Think about how computers improve from experience.

2. 2.

   Define fault detection.

   Hint

   What do you do when something goes wrong in a machine?

3. 3.

   Which of the following best describes machine learning?

   • A type of traditional programming.
   • A subset of artificial intelligence that allows systems to learn from data.
   • A method of data storage.

   Hint

   Focus on what distinguishes machine learning from traditional programming.

4. 4.

   True or False: Predictive analytics is only useful after errors have already occurred.

   • True
   • False

   Hint

   Think about how prediction works in real life—it's about foreseeing, not reacting.

5. 5.

   Consider a new machine learning model implemented in a fault detection system. Explain how it might identify a fault that a traditional method would miss.

   Hint

   Focus on the adaptability and learning capabilities of ML.

6. 6.

   Design a case study where you implement predictive analytics in an electronics project's testing phase. Describe how this integrates into existing practices and the expected outcomes.

   Hint

   Think about how data helps shape future actions.