6 results about "Severity level" patented technology

A method of monitoring operation of an aircraft engine includes, during operation of the aircraft engine, monitoring a parameter associated with the aircraft engine using one or more sensors. In response to determining that one or more values of the parameter are indicative of a foreign object damage (FOD) event of a first severity level to the aircraft engine, communicating data pertaining to the FOD event of the first severity level in accordance with a first communication scheme assigned to the first severity level. In response to determining that one or more values of the parameter are indicative of FOD event of a second severity level to the aircraft engine, the second severity level being higher than the first severity level, communicating data pertaining to the FOD event of the second severity level in accordance with a second communication scheme assigned to the second severity level.

A system for enhancing personnel safety on a railroad track is presented. The system can receive data from sensors and / or a PTC system to determine positions of clients / worker and / or vehicles, and further utilize such data to determine if a vehicle is within a certain proximity of the client / worker location. The system can further generate geofences around clients / vehicles to and determine when such geofences intersect one another. Additionally, the present disclosure can assign severity levels and generate alerts with the assigned severity levels, and such severity levels can indicate how close a vehicle is to a particular location. It is an object of the invention to provide a system for generating alerts to notify personnel when they much retreat to a place of safety.

In some implementations, a compliance system may receive, from a pipeline system, a set of properties associated with configuration of a cloud infrastructure. Additionally, the compliance system may receive, from a code repository, a set of computer code associated with the cloud infrastructure. The compliance system may provide the set of properties and the set of computer code to a machine learning model to receive a set of compliance indicators and a set of severity levels. Each compliance indicator in the set of compliance indicators being associated with a corresponding severity level in the set of severity levels. The compliance system may selectively deploy the cloud infrastructure in response to receiving the set of severity levels.

In some implementations, a compliance system may receive, from a tracking system, a set of data structures representing a set of security vulnerabilities and indicating a corresponding set of severity levels. The compliance system may determine a set of levels of effort, corresponding to remediating the set of security vulnerabilities. The compliance system may provide the set of levels of effort to a machine learning model, in order to generate a proposed change to a set of users that are responsible for remediation, and may output an indication of the proposed change. The compliance system may provide the corresponding set of severity levels and the set of levels of effort to the machine learning model in order to generate clusters for the set of security vulnerabilities. The compliance system may output, based on the clusters, an indication of which users are assigned to which security vulnerabilities.

Systems and methods for screening and scoring outputs generated by artificial intelligence language models, including receiving a generated output generated by an artificial intelligence language model in response to a user query, analyzing the output using detection engines, each detection engine evaluating different error dimensions, classifying each detected error into a severity level, generating color-coded visual indicators that correspond to a highest severity level among the one or more detected errors, generating remediation guidance configured to remediate at least one detected error of the one or more detected errors, and presenting screening results including the color-coded visual indicator a list of the one or more detected errors with their respective severity levels and locations, and the remediation guidance.

A system, method, and communication protocol for providing warning indicator severity diagnoses and alerts. The system captures data associated with operations of the vehicle using the plurality of system sensors. The system further detects a service trigger event based on the data that is captured. The system further identifies one or more vehicle components associated with the service trigger event. The system further estimates one or more severity levels of the service trigger event based on the one or more vehicle components that are identified. The system further transmits one or more service alerts to one or more target recipients based on the one or more severity levels for each vehicle component of the one or more vehicle components that is identified in response to at least one severity level of the one or more severity levels meeting a predetermined severity threshold.