Publications

Dive deeper into our technology!

Virtual Sensors based on CAN bus signals

Published in

Blog article | Medium.com

Application

Vehicles from 2-wheelers to 18-wheelers and other mechatronic equipment

Keywords

Virtual sensors basics, CAN bus signals, vehicle application example

Content in a nutshell

What are virtual sensors? Benefits of replacing physical sensors partly or completely by virtual sensors – reliability, cost and simplicity. How it works: sensor fusion based on CAN-bus signals.

development

Development

Maximize insights from series production vehicles
Minimize component cost, CO2 and weight

testing

Testing

Maximize insights from development vehicles
Minimize sensor and testing costs

operation

Operation

Maximize component lifetime
Minimize unplanned failures

reuse

Reuse

Maximize reuse quota
Minimize waste and replacement part costs

AI-based end-to-end drivetrain monitoring and optimization

Published in

Conference paper | CTI Symposium Berlin 2020

Application

Automotive

Keywords

Automotive durability testing, virtual mileage accumulation, predicted reliability

Content in a nutshell

Our approach to enhance automotive durability testing with digitalization, using virtual sensors, a virtual fleet and virtual mileage accumulation.

development

Development

Maximize insights from series production vehicles
Minimize component cost, CO2 and weight

testing

Testing

Maximize insights from development vehicles
Minimize sensor and testing costs

operation

Operation

Maximize component lifetime
Minimize unplanned failures

reuse

Reuse

Maximize reuse quota
Minimize waste and replacement part costs

Predicting and Forecasting Fatigue Damage of Automotive Components

Published in

Blog article | Medium.com

Application

Automotive

Keywords

Fatigue damage, Remaining Useful Life, RUL prediction, predicted reliability

Content in a nutshell

In-depth explanation about an improved remaining useful life (RUL) prediction of automotive components based on artificial yet realistic fleet data and neural network models.

development

Development

Maximize insights from series production vehicles
Minimize component cost, CO2 and weight

testing

Testing

Maximize insights from development vehicles
Minimize sensor and testing costs

operation

Operation

Maximize component lifetime
Minimize unplanned failures

reuse

Reuse

Maximize reuse quota
Minimize waste and replacement part costs

AI-based end-to-end drivetrain monitoring and optimization

Published in

Conference paper | CTI Symposium Berlin 2020

Application

Automotive

Keywords

Automotive durability testing, virtual mileage accumulation, predicted reliability

Content in a nutshell

Our approach to enhance automotive durability testing with digitalization, using virtual sensors, a virtual fleet and virtual mileage accumulation.

Virtual Sensors based on CAN bus signals

Published in

Blog article | Medium.com

Application

Vehicles from 2-wheelers to 18-wheelers and other mechatronic equipment

Keywords

Virtual sensors basics, CAN bus signals, vehicle application example

Content in a nutshell

What are virtual sensors? Benefits of replacing physical sensors partly or completely by virtual sensors – reliability, cost and simplicity. How it works: sensor fusion based on CAN-bus signals. 

Predicting and Forecasting Fatigue Damage of Automotive Components

Published in

Blog article | Medium.com

Application

Automotive

Keywords

Fatigue damage, Remaining Useful Life, RUL prediction, predicted reliability

Content in a nutshell

In-depth explanation about an improved remaining useful life (RUL) prediction of automotive components based on artificial yet realistic fleet data and neural network models.

Not what you are looking for?

Take a look at our Use Cases and browse through selected applications of our Virtual Sensors!

Contact

+49 (0)6151 3844614

contact@compredict.ai

COMPREDICT GmbH

Rheinstra├če 40-42

64283 Darmstadt, Germany