Fault detection, isolation, and recovery (FDIR) is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis of the discrepancy between the sensor readings and expected values, derived from some model. In the latter case, it is typical that a fault is said to be detected if the discrepancy or residual goes above a certain threshold. It is then the task of fault isolation to categorize the type of fault and its location in the machinery. Fault detection and isolation (FDI) techniques can be broadly classified into two categories. These include model-based FDI and signal processing based FDI.
This Project is Submitted to the Sparks Foundation.
PROJECT REQUIREMENTS
Implement a Fault Detection System which, detects and eliminates
the faulty products based on the shape/colour.
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Please go through the below link for more understanding
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Resources: link1
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Project submission:
1. Host the code on GitHub Repository (public). Record the code and
output in a video. Post the video on YouTube
2. Share links of code (GitHub) and video (YouTube) as a post on
YOUR LinkedIn profile
3. Submit the LinkedIn link in Task Submission Form when shared
with you.
4. Please read FAQs on how to submit the tasks.
GITHUB SOURCE CODE LINK
[ Ссылка ]-
