Datum examines the value of digital twins & high sample rate torque data

Datum examines the value of digital twins & high sample rate torque data
Engine digital twins deployment. Image source: Datum Electronics

Datum Electronics has published a new white paper that discusses the value of digital twins and high sample rate torque data in intelligent engine diagnostics.

According to Datum, the Instantaneous Crankshaft Torque (ICT) which can be obtained from high sample rate torque measurements, is an extremely useful measurement for engine monitoring and health diagnostics. Fluctuations in an engine’s ICT can provide a direct relationship with the in-cylinder pressure for every cylinder. The reliability of the shaft power meter also allows for high accuracy and continuous engine monitoring. According to Datum, this is vital in identifying the onset of failures and spotting degradation trends.

One issue Datum recognises is that the engine’s ICT cannot be interpreted intuitively. Even a healthy engine has its own unique torque signature, which means that engine modelling techniques must be employed in order to interpret the engine’s condition using the ICT measurement.

For this reason, digital twins are used. A digital twin enables a virtual replica of the engine to be created to simulate engine performance, faults, and degradation. According to Datum, digital twins can be deployed as virtual sensors inside real engines, whereby processing high sample rate torque measurements, the in-cylinder pressure curves can be determined for all engine cylinders. Digital twins can also be used to generate a baseline of a healthy engine. The results can be used to determine how different ambient conditions and engine operating points affect the condition of the engine.

The white paper by Datum explains how the maximum value from high sample-rate torque data can be obtained by using digital twins of the crankshaft dynamics and the thermodynamics.

The paper is split into four sections, including Interpreting Torque Data with Digital Twins, Crankshaft Dynamics, Digital Twin & Self Adaptive Algorithm, Crankshaft Dynamics; Digital Twin & Self Adaptive Algorithm, Thermodynamics; and Digital Twin, and The Bigger Picture.

The white paper Path to Intelligent Engine Diagnostics Part 2: The Value of Digital Twins & High Sample Rate Torque Data can be downloaded here.