SIPREMA Pro is the professional version of acoustic condition monitoring designed for demanding maintenance environments. It includes all functions of automatic anomaly detection and extends them with targeted learning, analysis, and knowledge-management capabilities.

SIPREMA Pro detects acoustic anomalies and allows users to actively qualify them. Anomalies can be assessed as relevant or not relevant and linked to specific condition descriptions. This qualified feedback is fed directly into the learning model, increasing detection accuracy over time.

All evaluations are stored in a knowledge database and remain traceable, editable, and expandable. Sounds and their descriptions can later be reassigned or reclassified. In this way, a site-specific acoustic knowledge system is created that remains usable independently of individual personnel.

In addition, SIPREMA Pro enables proactive training of sounds. Users can deliberately record target and non-target sounds and make them known to the system. This allows known failure patterns, special operating states, or critical sounds to be trained in a targeted manner.

SIPREMA Pro also offers advanced analysis and visualization functions, optional sound localization, integration options via interfaces, and project-specific extensions through plugins. This makes the Pro version particularly suitable for complex systems, variable operating conditions, and larger maintenance organizations.

SIPREMA Pro is particularly suited for:
• complex or variable assets
• systematic, data-driven maintenance strategies
• organizations with clearly defined processes and responsibilities

Note:
If you prefer a purely statistical, low-maintenance plug-and-play solution without manual feedback, SIPREMA Core is the appropriate choice.