Diagnostics and Predictive Condition Analysis System for Engine

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In road transport, on ships and diesel locomotives, a significant share in the cost of production is the cost of fuel (over 30%). Measures to control its overspending are reduced by the installation of flow sensors/meters, which allows you to state the fact of overspending, to record theft, but not to manage the causal overspending. It is necessary to control the factor that is functionally related to fuel consumption— this is the loss of engine power and performance. However, under operating conditions, companies do not have the tools available to manage the cause of fuel overspending, so they incur fuel overspending costs of up to 15% and productivity losses of up to 20%.

Our solution provides control of a universal factor-the conditional mechanical efficiency of the engine, the value of which depends on the combined effect of the effective power and the power loss of the engine. The mechanical efficiency factor is limited from the top to 0.8-0.85 and corresponds to a working condition (new engine) and is limited from the bottom to 0.5 – 0.6, which corresponds to a faulty (emergency) condition. Deterioration of the factor by 20% is unavoidable during operation due to wear and tear and engine malfunction. There is a clear link between this deterioration and an increase in fuel consumption by the same 20%, as well as a decrease in productivity by 20%. This fact can be used in predictive analytics to adjust the service interval in order to manage profit in the task of optimizing performance losses and service costs, fuel cost overruns.

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  • ABOUT THE ENTRANT

  • Name:
    Sergey Osn
  • Type of entry:
    team
    Team members:
    The system based on the developed software and hardware solutions is designed for diagnosing the state and predicting failures of engines in order to improve their performance indicators and manage their life cycle through the use of functional generalized state models. The universal nature of the platform allows you to create customized solutions, digital doubles without training and makes it available for the following industries: autotransport, traction railway equipment, shipbuilding, small power engineering, mining industry.
  • Profession:
    Scientist
  • Sergey is inspired by:
    We develop new methods and technologies that are in demand in the operation of various machines – it is extremely interesting to create their digital models. Our database allows you to create customized solutions, digital doubles without training and makes it available for the following industries: traction railway equipment, shipbuilding, small power engineering, mining industry.
  • Patent status:
    patented