18485528. METHOD FOR PREDICTING ADVERSE OPERATING CONDITIONS simplified abstract (Nokia Technologies Oy)
Contents
METHOD FOR PREDICTING ADVERSE OPERATING CONDITIONS
Organization Name
Inventor(s)
Malgorzata Tomala of Wroclaw (PL)
Ethiraj Alwar of Bangalore (IN)
METHOD FOR PREDICTING ADVERSE OPERATING CONDITIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18485528 titled 'METHOD FOR PREDICTING ADVERSE OPERATING CONDITIONS
The abstract describes an apparatus that can connect to a network, predict the likelihood of configurable features causing anomalous operating conditions, and signal information about these features to the network.
- The apparatus has means for establishing a network connection.
- It uses an algorithm-based model to predict the likelihood of configurable features causing anomalous operating conditions.
- Information about these features is then signaled to the network.
Potential Applications: - Industrial automation systems - Internet of Things (IoT) devices - Smart home technology
Problems Solved: - Preventing anomalous operating conditions in connected devices - Improving overall network efficiency and reliability
Benefits: - Enhanced network security - Proactive maintenance of devices - Optimized performance of connected systems
Commercial Applications: Predictive maintenance solutions for industrial machinery and equipment, network security systems for IoT devices, smart home automation platforms.
Questions about the technology: 1. How does the algorithm-based model predict the likelihood of anomalous operating conditions? 2. What types of configurable features are considered in the prediction process?
Frequently Updated Research: Stay updated on advancements in predictive maintenance algorithms and network security protocols for connected devices.
Original Abstract Submitted
An apparatus comprising: means for establishing a connection to a network; means for predicting, by an algorithm-based model implemented in said apparatus, whether any of configurable features of the apparatus infers a predetermined likelihood to cause an anomalous operating condition in said apparatus; and means for signalling information about said configurable features to the network.
