Practical example on data science and aeronautics
Airplanes have multiple sensors that help pilots measure air speed, air pressure, and altitude. These sensors can be used to collect crucial data like temperature, moisture, and pressure in different parts of an aircraft.
Nonetheless, the absence of explicit models to include all the measurable properties had yield to a necessity of data-based models to forecast and diagnose aircraft performance.
Data science is an inter disciplinary field that combines scientific methods, informatics and statistics to extract hidden knowledge within the measured data.
This process allows creating accurate representations of complex processes without extensive knowledge on the underlying physical principles.
Moreover, data-based models can be trained to analyze the collected data to identify abnormal behavior that relates the process to possible faults or degradation.
For instance, one major aeronautical application corresponds to gas turbines. These devices are equipped with sensors installed to collect data such as rotation speed, air pressure, and temperature of the component. This set of flight properties affect the resulting gas turbine performance.
The performance variations also can correspond to fouling, degradation or faults. This…
