Mastering Condition Monitoring: Use Cases, Benefits, Architecture, and Components
Overview: Condition monitoring is a critical practice in various industries for assessing the health and performance of assets in real-time. This course aims to provide participants with a comprehensive understanding of typical use cases, benefits, solution architecture, and required hardware/software components for effective condition monitoring. Participants will gain insights into how condition monitoring can enhance asset reliability, reduce downtime, and optimize maintenance strategies.
Session Breakdown:
- Introduction to Edge Computing (10 minutes)
- Added Value of Edge Computing (15 minutes)
- Typical Solution Architectures (15 minutes)
- Hardware and Software Solutions (15 minutes)
- Hands-on Example: Developing Edge Client Logic (15 minutes)
Session Breakdown:
- Introduction to Condition Monitoring (10 minutes)
- Typical Use Cases and Benefits (15 minutes)
- Solution Architecture of Condition Monitoring Systems (20 minutes)
- Required Hardware and Software Components (15 minutes)
- Case Studies and Best Practices (10 minutes
Key Learning Objectives:
- Understand the concept of condition monitoring and its significance in asset management and maintenance.
- Explore typical use cases of condition monitoring across different industries, such as manufacturing, energy, and transportation.
- Learn about the benefits and added value of implementing condition monitoring systems, including improved asset reliability, reduced maintenance costs, and increased operational efficiency.
- Gain insights into the solution architecture of condition monitoring systems, including data acquisition, processing, analysis, and visualization.
- Identify the required hardware and software components for building a robust condition monitoring system, such as sensors, data acquisition devices, analytics software, and visualization tools.
Mastering Condition Monitoring
Artikelnummer: TTL-01-01
120,00 ā¬Preis
- IT architects and developers
- System administrators
- IoT engineers and developers
- Cloud architects
- Data scientists
- Technical managers interested in edge computing