Executive Summary

We are thrilled to report the successful completion of an innovative web-based vibration enterprise platform for a major pulp & paper company that not only advances vibration data analysis but also integrates seamlessly with AWS Cloud services, third-party vendor sensor web services, and a time-series database. This platform now reliably processes data from over 2000 Banner vibration sensors in pulp & paper machines, bringing transformative changes to the industry in the form of reduced downtime, predictive failure detection, and resource optimization.

Project Overview

Objectives

1. Develop a web-based platform for real-time vibration monitoring.

2. Integrate the system with AWS Cloud Services for enhanced scalability and security.

3. Incorporate third-party vendor sensor web services for more comprehensive data analysis.

4. Implement a time-series database for effective data storage and retrieval.

5. Transform time-domain waveform data into frequency-domain spectrum FFT (Fast Fourier Transform).

Key Technologies

• ETL Data Processing Model
• AWS Cloud Services
• Time-Domain to Frequency-Domain FFT transformation
• Data Visualization Software

• Web-based User Interface
• Third-Party Vendor Sensor Web Services
• Time-Series Database
• Bearing Manufacturing Database Integration
• Edge Processing

• MQTT

Delivered Features

AWS Cloud Services Integration

We successfully integrated the platform with AWS Cloud services to ensure scalability, data security, and reliable uptime.

Third-Party Vendor Sensor Web Services

Our platform communicates effortlessly with third-party vendor sensor web services, enriching the quality and diversity of data for analysis.

Time-Series Database

We incorporated a time-series database to manage the massive influx of data, making it easier to store and retrieve information as needed for analysis.

ETL Model for Vibration Data

The platform uses a robust ETL process that extracts, transforms, and loads RMS vibration velocity, acceleration, and time-domain waveform data into the system for analysis.

FFT Transformation Engine

The platform's processing engine is capable of converting time-domain waveform data into frequency-domain spectrum FFT, allowing for detailed frequency analysis.

Intuitive User Interface

The user-friendly web-based interface allows users to select any vibration sensor for real-time visualization and integrates features for comprehensive monitoring.

Bearing Database Integration

The system links with a bearing manufacturing database, enabling users to add frequency markers related to failure conditions relative to the equipment's base speed.

Predictive Analysis and Maintenance

Predictive capabilities of the system aid in early failure detection, root cause analysis, and pinpointing suspect components.

Benefits and ROI

• Reduced Downtime: Achieved a 30-40% reduction in downtime, substantially cutting costs.
• Prolonged Equipment Life: Predictive maintenance features extend the life of machinery.
• Optimized Maintenance: More effective allocation of maintenance resources due to better data insights.

For more information on how our integrated vibration enterprise platform can revolutionize your Pulp & Paper operations, please Contact Us.

Transforming data into actionable insights for a more efficient and integrated future.

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