In industrial production, efficient maintenance strategies are crucial for productivity, quality, and competitiveness. Instead of rigid maintenance intervals, modern companies increasingly rely on flexible, data-driven approaches. One of the key concepts is Condition-Based Maintenance (CBM).

CBM uses sensors, measurement data, and digital systems to monitor the condition of machines and equipment continuously or at defined intervals. Maintenance activities are carried out only when they are actually required. This helps reduce downtime, lower costs, and extend the service life of assets.

Unlike reactive maintenance, which only takes action after a failure occurs, CBM operates proactively. Deviations in parameters such as temperature, vibration, or energy consumption are detected early, allowing targeted measures to be planned before disruptions occur. The result is predictable processes, higher equipment availability, and improved operational safety.

Predictive Maintenance goes one step further by combining condition data with historical information and AI-based algorithms to forecast future failures. Both approaches complement each other and together form the foundation of a future-proof maintenance strategy.

Digital solutions play a key role in this process. With the “instructor” from tepcon, work and inspection instructions can be provided digitally, mobile, and in an audit-proof manner. Combined with connected service ecosystems, this creates efficient and transparent maintenance management.

Condition-based maintenance is therefore a key success factor for modern industrial companies. tepcon supports you with digital solutions on your path toward efficient and sustainable maintenance.