Condition Monitoring plays a major part in the smart factory ecosystem, providing a foundation for Predictive Maintenance, Predictive Quality, and other Industry 4.0 applications including Digital Twin.

However, data acquisition, data communication, machine learning, visualization, security and other aspects of industrial IoT implementation can prove to be too challenging and risky for manufacturers lacking the required skill sets internally.

For this reason, companies are increasingly turning to external turnkey Condition Monitoring solutions, but as the market for this type of service grows, it’s becoming difficult to make sense of what each Condition Monitoring vendor offers, and how they compare.

Below is a breakdown of the most important factors to consider when evaluating a Condition Monitoring solution.

For a full guide with everything you need to know about choosing a Condition Monitoring solution, make sure to download our free whitepaper:
How to Choose the Right Condition Monitoring Solution.


Capabilities every Condition Monitoring solution should offer…

Solution Modeling

The goal of creating a solution model is to visualize all the use cases involving the connected assets, across all processes, and in as much detail as possible, including machines, sensors, gateway devices, PLCs, connectivity protocols, analysis, and dashboards.

A Condition Monitoring solution should offer the ability to create a visual prototype of the proposed system, including a connectivity blueprint and a list of necessary sensors and other hardware/software.


Simulating use of the proposed system with relevant Condition Monitoring use cases minimizes risk and provides a great opportunity for stakeholder buy-in.

Engineers, technicians and management can bring to the surface issues regarding the system, and provide feedback that can be implemented to make further improvements.

Data Acquisition

In any Factory 4.0 use case, data is of key importance. Acquiring data needs to be a precise, organized, and continuous operation to ensure that the system receives an accurate real-time representation of what’s happening on the factory floor.

To get the full picture of an asset’s health, or that of a system/production line, it’s important that a Condition Monitoring solution has the ability to “connect” with your existing data system: ERP and historian data sources, as well as PLCs and sensors.


Dashboards play an important role since they present the data in a way that can be interpreted to inform management decisions about maintenance tasks and other aspects of production.

Every manufacturing process is different, meaning that dashboards should be customizable, suiting the metrics and KPIs that are most important to the manufacturer, and offering the ability to set up rules for critical alerts.

Digital Twin Analytics

A Digital Twin represents the attributes of a factory, plant, or asset in real time. This data-rich interface improves anomaly detection and the identification of weak links in processes making it a very capable tool for Condition Monitoring.

Agile & Collaborative

A Condition Monitoring solution should include access to a platform that can generate a digital prototype. This prototype is crucial for keeping the development process agile and collaborative, allowing a wide scope of professionals – technicians, engineers, managers – the ability to review the proposed system. Most importantly, such a platform is likely to prevent errors in the planning of a Condition Monitoring system; errors that can be expensive to remedy further down the line.

The platform should allow for modifications to be made even after the system is in production so that improvements can easily be made, and new business demands met.

Need help with Condition Monitoring?

Seebo offers a complete Condition Monitoring solution for OEMs and plants/factories that are looking to leverage Industry 4.0 to impact their bottom line.

Book a live demo and take the first step in your digital transformation by exploring how Seebo can help you rapidly generate a Digital Twin prototype for your enterprise or asset.