Technical Writing and AI Model Development for Predictive Maintenance

Project Scope

The scope of work includes preparing a professional technical document and developing an AI-based prediction model for predictive maintenance of centrifugal pumps used in oil refinery operations.

Technical Document

The technical document should explain the project in a clear industry-style format, with strong structure, professional language, and logical flow. It should present the concept of using AI to monitor pump condition and support early detection of possible failures in refinery pump systems.

AI/Model Development

The AI/model development part should focus on centrifugal pump condition monitoring using sensor-based data such as:

• vibration
• temperature
• pressure
• flow rate

Required Work

The required work includes:

• Understanding the operating context of centrifugal pumps in refinery environments
• Working with pump sensor data
• Cleaning and preprocessing the data
• Building machine learning models for predictive maintenance
• Identifying abnormal patterns, performance issues, or early signs of pump failure
• Generating prediction results in a clear and simple format

Practical Understanding

The project should reflect practical understanding of common centrifugal pump issues such as:

• bearing faults
• seal problems
• cavitation
• pressure or flow abnormalities
• general equipment performance degradation

Final Output

The final output should combine technical writing with an AI-based prediction approach in a professional and operational style suitable for an industrial project context.