Maged Mahmoud

Drill bits failure

Object Detection

1

Drill bits failure Computer Vision Project

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Here are a few use cases for this project:

  1. Mining and Geology: The Drill Bits Failure model can assist in identifying faulty drill bits in resource extraction industries. This can improve safety and efficiency of operations by preventing potentially hazardous incidents and reducing downtime caused by unexpected equipment failure.

  2. Oil and Gas Industry: This model might be used for predicting drill bit failures in drilling rigs. Early prediction of possible failures could facilitate preventive maintenance, optimize drilling operations, and prevent costly downtime or accidents.

  3. Manufacturing: Manufacturers of drill bits could utilize this model to analyze their products after testing to understand the causes of failure and improve the design and materials used. This might aid in extending the lifetime and reliability of their products.

  4. Education and Training: This model could be used in teaching environments for demonstrating to engineering students the different types of drill bit failures. It provides a practical tool for gaining insights into real-life failures and their causes.

  5. Research and Development: Researchers could utilize this model to study the relational effect between bit material, design, operating conditions and failure types, thus promoting improvements in drill bit design and technology.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            drill-bits-failure_dataset,
                            title = { Drill bits failure Dataset },
                            type = { Open Source Dataset },
                            author = { Maged Mahmoud },
                            howpublished = { \url{ https://universe.roboflow.com/maged-mahmoud/drill-bits-failure } },
                            url = { https://universe.roboflow.com/maged-mahmoud/drill-bits-failure },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-03-03 },
                            }
                        

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Source

Maged Mahmoud

Last Updated

2 years ago

Project Type

Object Detection

Subject

I-labelled-all-bit-failure-cause

Classes

Bit-BHA whirl Corrosion Wear Erosion Wear Gauge trimmer damage Heat Checking Interfacial Severity Normal-Mechanical Fracture Smooth wear Tangential Fracture

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License

CC BY 4.0