EtaPRO™ APREarly Detection of Failure in Operation Data

    EnergyVisualization, analytics, AI
    Detecting differences between current operational data and past normal data provides advance warning of failure indicators, improves system availability and reduces opportunity losses.
    Toshiba Energy Systems & Solutions Corporation
    Where we are:
    Digitization is underway, but we have not yet improved operational efficiencies

    Emergency shutdowns due to failures have a tremendous impact on power plant operations. Generating capacity is lost, and emergency repairs are necessary. Plant operators following the global development and adoption of IoT technologies are increasingly interested in leveraging them to reduce operation downtimes. However, although a variety of data can be digitized and amassed, exploiting it to the full to improve operational efficiency remains a challenge.

    Detecting failure signs through real-time comparison of forecasted data and actual data

    We build models that correlate past data from normal operations with current data in real time, and that can detect differences from past behavior and predict failures before they happen.

    This is a microservice, one of the building blocks of TOSHIBA SPINEX for Energy. See also Related Services below.

    To improve availability rates and reduce opportunity losses

    Accurate prediction of when failures will happen allows planning for equipment downtimes and inspection, improves availability rates and reduces opportunity losses.

    Why Toshiba
    1. Extensive experience in plant manufacture supports us in building accurate models with the appropriate assets
    2. Real time visualization of actual data and the values predicted by the model
    3. We also provide tools that allow the customer to update the model, if necessary
    In-screen comparison of actual and predicted values
    Screen of comparison of actual measures with predicted values

    The brand name for industrial IoT services compliant with the Toshiba IoT Reference Architecture.

    Find out more here: Toshiba IoT Reference Architecture realizes Cyber Physical Systems (CPS).

    Thoughts behind the name SPINEX

    SPINE + X

    The spine is our body’s central support structure, our core, home to the spinal cord that radiates nerves throughout or bodies. In the same way as the nervous system allows us to experience the world, edge computing delivers fast decisions in data processing by distributing sensing and control to every point where it is needed.

    Our spine makes us strong and agile. We can do the same for your business, and contribute to society, by providing an essential industrial IoT framework that supports your people and operations with fast, appropriate on-site processing.

    The X of SPINEX represents eXperience and  eXpansion, and the crossover with other value creators and services. This is how we will create the future with TOSHIBA SPINEX Services.

    Two pillars of the Toshiba IoT Reference Architecture compliance standard

    APIThe service is an open interface, not closed on itself, an architecture that enables third parties to safely create value.
    SecurityThe service implements system security that meets global standards. We can provide customers with all the information they need to assess those standards, and determine whether or not the service meets their business’ security requirements.