Engineering Solutions for Complex Systems

Tschanz Technologies provides advanced modeling, simulation, and data-driven analysis to help engineering teams understand system behavior, predict performance, and reduce risk across complex, high-impact applications.

We develop physics-based and system-level models that capture real-world behavior across mechanical, electrical, and software-driven systems. These models support design decisions, performance evaluation, and failure analysis before costly physical testing occurs.

Typical applications include:

• Dynamic system modeling
• Multiphysics simulation
• Control system analysis
• Performance and sensitivity studies

Digital twins provide a continuously evolving model of a physical system, enabling deeper insight into performance, degradation, and operational behavior. We design digital twins grounded in physics and informed by data to support sound operational decision-making.

Typical applications include:

• System health monitoring
• Lifecycle performance analysis
• What-if scenario testing
• Operational optimization
  

We apply data-driven methods alongside physics-based models to predict future system behavior. This hybrid approach improves reliability and confidence compared to purely statistical methods.

Typical applications include:

• Predictive maintenance
• Anomaly detection
• Remaining useful life estimation
• Performance forecasting

We support the design and validation of control strategies through simulation-based testing. This enables safer iteration, improved stability, and better system performance before deployment.



Typical applications include:

• Robotics and autonomous systems
• Control law validation
• Sensor and actuator modeling
• Closed-loop system analysis

Not every problem fits a predefined category. We work closely with engineering teams to develop custom models, simulations, and analyses that address specialized or novel system challenges.