Get Inspired
Get Inspired

IDENTIFYING

IDENTIFYING IIoT PROBLEMS IS LIKE LOOKING
FOR A NEEDLE IN A HAYSTACK

PROBLEMS

Running IIoT mission-critical applications and working within asset-intensive industrial environment requires a solution that’s capable of identifying and resolving failures in real time yet providing robust mechanism for prediction and prevention of potential problems.

The plurality of IIoT network brings unique challenges to industrial use cases… A rapidly failing water pump could be just an upshot of a problem incited by a leaking pipeline feeding a power supply hops away from the pump in the cluster of connected devices.

Applying human-driven AI models in the cloud and run the resulted assumptive ML at the edge, pretending to solve the above critical issues in real-time, is impractical.

Vixtera developed an algorithm helping to detect systems anomalies and instantly identify the source of failures. The patented methodology makes certain assumptions about input and outputs of malfunctioning devices, its internal and external environment – all in the plurality of connected ecosystem. It promptly determines a root cause and a chain of events that’s leading to a problem significantly reducing the downtime and emergency maintenance while improving device serviceability and use of resources.

IIoT network

Root Cause

analysis model

Root Cause Analysis Model
Open scheme

The failure event can be used as an “etalon”, a reliable label, for automatic NN training and AI/DL modeling, eliminating costly, error-prone human involvement. It fundamentally refines AI processes fitting highly dependable data for predictive analysis whereas generating trustworthy outcome for the variety of predictive and prescriptive services. This innovation radically improves serviceability of IIoT devices reducing the downtime and time-to-repair.

...REAL-TIME
FAILURE DETECTION

Summary

Vixtera developed an algorithm helping to detect systems anomalies and instantly identifying the source of failures.

Summary