Patent classifications
G05B23/0251
SYSTEMS FOR AND METHODS OF AUTOMATICALLY SCHEDULING AND EXECUTING IN SITU TESTS ON ELECTRICAL AND MECHANICAL SYSTEMS
A testing platform tests an electrical and mechanical system such as an HVAC unit according to an algorithm that reduces the total testing time of the components of the system, while ensuring the safety of the system during system-wide testing. The platform uses constraints that are checked both before and during the testing to ensure that HVAC operating conditions are acceptable for starting and maintaining component tests. Preferably, the platform uses finite-state machines for each device to organize the component tests, allowing for monitoring of constraints and starting, pausing, and stopping component tests. Preferably, total test execution time is reduced by running component tests in parallel, running component tests based on loads of the components, or combinations of both.
Machine health monitoring, failure detection and prediction using non-parametric data
According to some embodiments, system and methods are provided, comprising receiving, at a machine health module, non-parametric data associated with operation of an installed product; generating, via the machine health module, a health status for at least one of a failure type and a remaining useful life of the installed product, based on the received non-parametric data; and generating an operating response of the installed product based on the generated health status. Numerous other aspects are provided.
TIME VARYING PERFORMANCE INDICATION SYSTEM FOR CONNECTED EQUIPMENT
Systems and methods of generating performance index for connected equipment in a building management system are provided. The connected equipment measures monitored variables and generates status codes. The system obtains data points of the monitored variables and the status codes from past N time units, and connected equipment specific parameters. The system performs first performance checks for the connected equipment using the status codes from the past N time units. The system performs second performance checks using the data points of the monitored variables from the past N time units, the connected equipment specific parameters, and a set of predetermined rules. The system determines individual performance check indicators based on the first performance checks and the second performance checks using first weights each determined based on a different timing. The system generates an overall performance index for the connected equipment using the individual performance check indicators and second weights.
Risk Assessment Device, Risk Assessment System, Risk Assessment Method, and Risk Assessment Program
A risk assessment device includes a diagnosis result storage unit that accumulatively stores diagnosis results of a plurality of diagnoses regarding each process device in association with installation sites of the process devices, a calculation model storage unit that stores a calculation model for calculating a probability of malfunction of a process device, a malfunction ratio calculation unit that calculates, based on diagnosis results regarding process devices that are and have been provided at a target installation site, a malfunction ratio that is a ratio of process devices that had malfunctioned by the time a reference period had elapsed from when the process devices were installed at the target installation site, a malfunction probability calculation unit that calculates, based on the calculation model, a probability of malfunction that is a probability that a process device provided at the target installation site will malfunction within the reference period, and a risk index value calculation unit that calculates a risk index value of a process device provided at the target installation site, through comparison between the calculated malfunction ratio and the calculated probability of malfunction.
Parametric data modeling for model based reasoners
Methods and apparatus are provided for an integrated vehicle health management system that uses a model based reasoner to develop real-time diagnostic and maintenance information about a vehicle. A model having nodes is used to represent sensors, components, functions and other elements of the system. Parameterized input sensors provide flexible definitions of each node. Once developed, the model is loaded into an operational flight program to provide real-time failure analysis of the vehicle.
Method and system for generating minimal cut-sets for highly integrated large systems
A system and method are provided for generating minimal cut-sets for highly integrated large systems. The method includes receiving a system model (102) and a scenario (104), and obtaining a dependency array (300) from the system model (102) according to the scenario, with the dependency array (300) including at least one case (302). The method includes selecting a case (302) in the dependency array (300). The method includes querying a cut-set repository (110) to determine if a cut-set for a component (200) in the case (302) is already stored, and retrieving said cut-set; and if a cut-set is not stored, generating the minimal cut-set for the component (200). And the method includes computing a final cut-set list (112) by expanding the dependency array (300) using the cut-set for the component (200). The method improves the efficiency of cut-set generation applied to manufactured systems with great number of components.
PARAMETRIC DATA MODELING FOR MODEL BASED REASONERS
Methods and apparatus are provided for an integrated vehicle health management system that uses a model based reasoner to develop real-time diagnostic and maintenance information about a vehicle. A model having nodes is used to represent sensors, components, functions and other elements of the system. Parameterized input sensors provide flexible definitions of each node. Once developed, the model is loaded into an operational flight program to provide real-time failure analysis of the vehicle.
Interactive, Constraint-Network Prognostics and Diagnostics To Control Errors and Conflicts (IPDN)
Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.
Hybrid acceleration in a processing environment
Embodiments of the invention include methods and systems for hybrid acceleration in a processing environment. Aspects of the invention include transmitting, by a first computing system to a second computing system, a request for access to an accelerator. The first computing system receives access information for a plurality of accelerators from the second computing system responsive to the request. The first computing system analyzes the access information for the plurality of accelerators to identify a first accelerator from the plurality of accelerators and offloads a first processing job to the first accelerator utilizing the access information.
Hybrid acceleration in a processing environment
Embodiments of the invention include methods and systems for hybrid acceleration in a processing environment. Aspects of the invention include transmitting, by a first computing system to a second computing system, a request for access to an accelerator. The first computing system receives access information for a plurality of accelerators from the second computing system responsive to the request. The first computing system analyzes the access information for the plurality of accelerators to identify a first accelerator from the plurality of accelerators and offloads a first processing job to the first accelerator utilizing the access information.