A modified dual-duplex fail-operational control system. A primary controller includes a first processing unit and a second processing unit for executing a function. A first comparative module comparing the function results from the first and second processing unit to determine an error the first controller. A second controller includes a first processing unit and second processing unit. The first processing unit executes the function. The second processing unit operating in a non-redundant state and not executing the function while in the non-redundant state. A second comparative module determines whether an error is present in the second controller. A matching function result identified by the first comparative module of the first controller is input to second comparative module of the second controller to determine whether an error is present in the second controller utilizing only the matching function result identified by the first comparative module and the function result determined by the first processing unit of the second controller.

A method of detecting a fault in an oil and gas apparatus controlled by a controller is provided. The method includes collecting a test set of data using a sensor proximate to an oil and gas apparatus during the operation of the oil and gas apparatus under test operating conditions, the test set of data being associated with an operating parameter of the controller, determining a percentage of the test set of data that falls outside a normal operation region of the oil and gas apparatus, and configuring the controller in response to the percentage being between a fault-free percentage threshold and a fault percentage threshold.

A Dielectric Energy Storage System (DESS) and method that stores energy for a wide variety of applications.

A system for determining the cause of an abnormality in a semiconductor manufacturing process includes an abnormality mode determination module, a selection module, and a root cause analysis module. The abnormality mode determination module is used to determine the similarity between wafer bin maps containing the abnormal data. When the similarity among the wafer maps is higher than a reference value, the selection module executes the steps of: determining a bad lot based on the wafer maps where the similarity is higher than the reference value; determining a time span within which the bad lot is generated; selecting other bad lots occurring in the time span and satisfying a failure model; selecting a good lot based on a fixed lot interval. The root cause analysis module is used to execute the steps of calculating the correlation among data to obtain confidence indexes.

A controlled dispensing system includes a dispensing fixture and a server system coupled to the dispensing fixture via a communication network. The dispensing fixture is configured to obtain via an input peripheral a first identifier associated with a controlled product and a second identifier associated with a dispensing requester; transmit the first and second identifiers to the server system; receive an approval notification from the server system; and instructing the dispensing mechanism to dispense the controlled product. The server system is configured to obtain a limit threshold corresponding to a maximum number of products associated with the first identifier that may be dispensed over a predetermined time period for a dispensing requester associated with the second identifier; and determine whether approving the dispensing operation would violate the limit threshold, and if not, update a dispensing history associated with the second identifier and transmit the approval notification to the dispensing fixture.

Methods and systems are described for detecting a wide variety of fault conditions in a HVAC system based on analysis of current and historical energy consumption patterns, and on comparison with energy consumption patterns of other similarly situated RTUs. Energy consumption comparisons are preferably made in regard to a normalized load ratio or NLR or more preferably to a daily maximum normalized load ratio or MDNLR, which provide more robust and reliable bases for comparison of faulty and fault-free RTUs, and hence for generalized fault detection, than other previously known metrics or criteria.

Methods, mediums, and systems include use of a system manger application in a data processing system for fault detection a building automation system using deep learning, to receive point data for a hardware being analyzed, where the received point data is contaminated data, train a deep learning model for the hardware being analyzed, generate predicted data based on the deep learning model, analyze the predicted data and the received point data, identify a fault in the hardware being analyzed according to the received point data and the predicted data, and produce a fault report according to the identified fault.

A method for diagnosing a differential pressure line of a differential pressure measurement arrangement includes capturing a first set number of differential pressure values, which represent a difference between a first media pressure and a second media pressure within a process, and checking whether the differential pressure measurement arrangement and/or the process are in a state that allows a diagnosis of the differential pressure line. Where it is determined that the differential pressure measurement arrangement and/or the process are not in a state that allows a diagnosis of the differential pressure line, the differential pressure values are captured anew such that the previously captured differential pressure values are deleted or overwritten. Otherwise, a diagnostic function to determine whether a differential pressure line is blocked is carried out.

A browser application of a mobile device receives an instruction from a web page to obtain identity and/or age data from a digital wallet application of the mobile device, obtains the requested data upon successful biometric authentication, transmits the requested data to the server system, receives a graphic barcode from the server system corresponding to a determination by the server system that the requested data satisfies an identity or age-based restriction or regulation, and causes the graphic barcode to be displayed on a display of the mobile device. A verifying device scans the graphic barcode and transmits it to the server system. The server system transmits a validation decision to the verifying device based on a determination that the graphic barcode transmitted to the mobile device corresponds to the graphic barcode received from the verifying device.

Methods and systems for fault identification and mitigation in an engine system. A state observer obtains current state information from the engine system, and a feature calculator uses data obtained from the state observer to calculate one or more feature indicators, which are monitored by a health estimator for the occurrence of a change using one or more change probability models. When the health estimator identifies a change, a fault isolator determines a component of the engine system that is subject to fault or health deterioration.