Patent classifications
G07C3/00
METHOD FOR ESTIMATING, BY MEANS OF MEASUREMENTS WITH AN INDUCTIVE SENSOR, THE TIME FOR WHICH AN ENDOTHERMIC MOTOR HAS OPERATED AT THE PREDETERMINED SPEEDS, AND APPARATUS FOR IMPLEMENTING SUCH METHOD
A method is described for estimating, by measurements taken by an inductive sensor, the time for which an endothermic motor of a tool has operated at predetermined rotating speeds, and an apparatus implementing the method also described. The method in particular includes cyclically measuring, at a pre-set sampling period, an overall time interval by starting at the beginning of the measuring of the overall time interval when a first variation peak of the electromagnetic field is sensed and terminating the measuring of the overall time interval when a last variation peak of the electromagnetic field is sensed. The first and the last peaks are the start and tail ends of a sequence of peaks having a predetermined number of successive peaks, the number of peaks being positive, whole, at least equal to six and a least common multiple of two and three.
METHOD AND SYSTEM FOR DETERMINING MAPPING OF TEST CASE(S) WITH CODE SNIPPETS OF COMPUTER PROGRAM
Disclosed is a system for determining one or more lines of code uniquely executed corresponding to a plurality of test cases executed on a computer program of an IT enabled application. The system creates a plurality of test cases (either manually or automatically). The system further enables a test case execution tool and a code coverage tool. The test case execution tool executes each of the plurality of test cases on the plurality of lines of code. On the other hand, the code coverage tool monitors the one or more lines of code, of the plurality of lines of code, executed for each test case. Subsequently, the system further determines Test Case To Code Mapping (TCTCM) indicating a subset, of the plurality of lines of code, executed at least once by the test case execution tool upon execution of one or more test cases of the plurality of test cases.
METHOD AND SYSTEM FOR DETERMINING MAPPING OF TEST CASE(S) WITH CODE SNIPPETS OF COMPUTER PROGRAM
Disclosed is a system for determining one or more lines of code uniquely executed corresponding to a plurality of test cases executed on a computer program of an IT enabled application. The system creates a plurality of test cases (either manually or automatically). The system further enables a test case execution tool and a code coverage tool. The test case execution tool executes each of the plurality of test cases on the plurality of lines of code. On the other hand, the code coverage tool monitors the one or more lines of code, of the plurality of lines of code, executed for each test case. Subsequently, the system further determines Test Case To Code Mapping (TCTCM) indicating a subset, of the plurality of lines of code, executed at least once by the test case execution tool upon execution of one or more test cases of the plurality of test cases.
Operation-time calculation device and method for calculating operation time
The operation-time calculation device is configured such that the following processes are performed: a process in which operation-data information, work-time information, and operation-time information are stored in a storage unit, an input unit receives from a user parameter input at least including steps to be aggregated, aggregation start time, aggregation finish time, and aggregation unit time period, and a controller sets the aggregation time period on the basis of the parameters that were input; a process for converting total work time of the steps to be aggregated in each aggregation time period and the corresponding operation time using an operation-time conversion coefficient and calculating total operation time of the steps to be aggregated in the aggregation time period; a process for calculating the differential between total work time of the aggregation time period and total operation time; and a process for changing the operation-time conversion coefficient to minimize the differential.
Operation-time calculation device and method for calculating operation time
The operation-time calculation device is configured such that the following processes are performed: a process in which operation-data information, work-time information, and operation-time information are stored in a storage unit, an input unit receives from a user parameter input at least including steps to be aggregated, aggregation start time, aggregation finish time, and aggregation unit time period, and a controller sets the aggregation time period on the basis of the parameters that were input; a process for converting total work time of the steps to be aggregated in each aggregation time period and the corresponding operation time using an operation-time conversion coefficient and calculating total operation time of the steps to be aggregated in the aggregation time period; a process for calculating the differential between total work time of the aggregation time period and total operation time; and a process for changing the operation-time conversion coefficient to minimize the differential.
Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies
Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.
Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies
Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.
Assessing remaining useful life for portions of wind turbine support structures
Methods for assessing the useful life that may remain for a portion of a wind turbine support structure. The methods may include identifying an overall expected useful life for the portion of the support structure and estimating an expended life from the extent of loading that has occurred to the portion of the support structure during the operative life of a wind turbine. The useful life remaining for the portion may be determined by subtracting the expended life from the overall expected useful life.
Assessing remaining useful life for portions of wind turbine support structures
Methods for assessing the useful life that may remain for a portion of a wind turbine support structure. The methods may include identifying an overall expected useful life for the portion of the support structure and estimating an expended life from the extent of loading that has occurred to the portion of the support structure during the operative life of a wind turbine. The useful life remaining for the portion may be determined by subtracting the expended life from the overall expected useful life.
EQUIPMENT MONITORING SYSTEM AND METHOD OF ITS USE
Methods and systems of the present disclosure are directed to monitoring an equipment apparatus and alerting an individual of a malfunction. The system is integrated with a target equipment apparatus to monitor operating conditions. When a baseline operating condition changes to an alarm condition, an alarm signal is sent to a monitor. The system also includes an external power supply so that the alarm signal can still be sent in the event of a power failure. The monitor sends a message output to a communication control module that includes a radio transmitter, such as a cellular radio transmitter or a satellite radio transmitter. The radio transmitter transmits a message to a receiver, such as a cellular phone or a satellite phone. The messages are sent repeatedly until the baseline operating condition is restored. The system can thus be used in methods to provide fast, reliable, and inexpensive remote monitor equipment apparatus such as heating systems, control systems, power systems, electrical systems, mechanical systems, and the like.