677 results about "Remaining life" patented technology

A non-volatile solid-state storage subsystem, such as a non-volatile memory device, maintains usage statistics reflective of the wear state, and thus the remaining useful life, of the subsystem's memory array. A host system reads the usage statistics information, or data derived therefrom, from the subsystem to evaluate the subsystem's remaining life expectancy. The host system may use this information for various purposes, such as to (a) display or report information regarding the remaining life of the subsystem; (b) adjust the frequency with which data is written to the subsystem; and / or (c) select the type(s) of data written to the subsystem.

There is provided an apparatus for battery life estimation comprising an energy harvester; an energy storage apparatus, connected to the energy harvester, the energy storage apparatus representative of a unit of measure; a battery for receiving energy from the storage apparatus; and a processor for monitoring the energy provided by the storage apparatus, monitoring energy provided to the battery by other charging apparatus and monitoring the energy being delivered by the battery; wherein the processor calculates the remaining life of the battery based on the number of energy storage apparatus units that are provided to and delivered from the battery.

A storage apparatus is provided with a plurality of nonvolatile semiconductor storage media and a storage controller that is a controller that is coupled to the plurality of semiconductor storage media. The storage controller identifies a first semiconductor storage unit that is at least one semiconductor storage media and a second semiconductor storage unit that is at least one semiconductor storage media and that is provided with a remaining length of life shorter than that of the first semiconductor storage unit based on the remaining life length information that has been acquired. The storage controller moreover identifies a first logical storage region for the first semiconductor storage unit and a second logical storage region that is provided with a write load higher than that of the first logical storage region for the second semiconductor storage unit based on the statistics information that indicates the statistics that is related to a write for every logical storage region. The storage controller reads data from the first logical storage region and the second logical storage region, and writes data that has been read from the first logical storage region to the second logical storage region and / or writes data that has been read from the second logical storage region to the first logical storage region.

A system and method for monitoring underground drilling in which vibration is monitored by creating a model of the drill string using finite element techniques or finite difference techniques and (i) predicting vibration by inputting real time values of operating parameters into the model, and then adjusting the model to agree with measured vibration data, (ii) predicting the weight on bit and drill string and mud motor speeds at which resonance will occur, as well as when stick-slip will occur, so that the operator can avoid operating regimes that will result in high vibration, (iii) determining vibration and torque levels along the length of the drill string based on the measured vibration and torque at one or more locations, (iv) determining the remaining life of critical components of the drill string based on the history of the vibration to which the components have been subjected, and (v) determining the optimum drilling parameters that will avoid excessive vibration of the drill string.

A system and methods are given for providing information on the amount of life remaining for a memory having a limited lifespan, such as a flash memory card. For example, it can provide a user with the amount of the memory's expected remaining lifetime in real time units (i.e., hours or days) or as a percentage of estimated initial life. An end of life warning can also be provided. In a particular embodiment, the amount of remaining life (either as a percentage or in real time units) can be based on the average number of erases per block, but augmented by the number of spare blocks or other parameters, so that an end of life warning is given if either the expected amount of remaining life falls below a certain level or the number of spare blocks falls below a safe level.

A method for predicting the remaining life of a battery for a vehicle includes obtaining a value representative of the amount of remaining life for a battery in a new and fully charged state and monitoring at least one parameter of the battery during use of the battery. The method also includes obtaining an acceleration factor based on the at least one monitored parameter and estimating the amount of life lost from the battery utilizing the acceleration factor.

A system for providing an accurate indication of the remaining life of a battery. The system includes a first circuit that provides a control signal. A second circuit employs an internal resistance value of the battery and a battery voltage to provide the indication of remaining battery life in response to the control signal. In a specific embodiment, the second circuit includes a third circuit that measures the internal resistance of the battery in response to the control signal. The third circuit also includes a circuit for measuring an output current and an output voltage of the battery at varying battery loads. The circuit for measuring an output current includes an ammeter and a switching load. In a more specific embodiment, the switching load is implemented as a transmitter that is selectively activated via the control signal. A fourth circuit, included in the second circuit, provides the indication of remaining battery life in response to the internal resistance. The fourth circuit also includes a circuit for selecting a battery discharge curve in accordance with the internal resistance. Software running on the first circuit generates the estimate based on the discharge curve, which is subsequently displayed via a display.

Mechanisms for predicting a remaining useful life of a cutter head of a milling machine that includes a plurality of flutes are disclosed. Features are extracted from reference data associated with a plurality of reference cutter heads. The reference data includes reference vibration data and reference wear data. At least two Neural Network predictive models are trained in parallel for predicting the remaining life of a new cutter head based upon the extracted features. Operational data associated with the new cutter head is obtained. The operational data includes operational vibration data and operational wear data. Features extracted from the operational data are input into an optimal predictive model of the at least two Neural Network predictive models. A remaining useful life of the new cutter head is estimated by the optimal predictive model.

A system (10) and method for monitoring the operational life and / or performance of one or more light-emitting diodes (LEDs) (20) based on sensed parameters are disclosed. The remaining life of each LED may be predicted by counting the clock cycles during which the LED-based light is activated. LED current and / or temperature measurements may be used to control the clock signal and, thus, to compensate the predicted life value. Furthermore, operational characteristics of the LED-based light may be monitored based on LED current and / or voltage measurements. Such characteristics may include performance (e.g., intensity) and failure conditions (e.g., open or short circuits).

In accordance with the invention, there is a decision support method comprising collecting data about a set of components of an asset, wherein the data comprises information about the status of each component in the set of components. The method also comprises comparing the data to a set of requirements for a use of the asset and estimating a remaining life for each of the components in the set of components based on the status of each of the components and the set of requirements for an intended use of the asset.

A battery life predicting apparatus comprises a data processing unit for obtaining and processing data on a vehicle having a battery used as a power source of the vehicle, the data including battery environment data, power consumption data concerning electrical components, and vehicle running data, a recording unit for recording vehicle characteristic data and histories of the data obtained and processed, a storage for storing data concerning battery deterioration obtained in a vehicle running test, and a controller for estimating a degree of battery deterioration relative to durable years of the battery from the data recorded in the recording unit and calculating remaining life of the battery, and presents the remaining life of the battery to a driver in the display. Further, a battery life warning apparatus estimates a timing of replacing the battery and presents a level of warning to the driver.

A system and methods are given for providing information on the amount of life remaining for a memory having a limited lifespan, such as a flash memory card. For example, it can provide a user with the amount of the memory's expected remaining lifetime in real time units (i.e., hours or days) or as a percentage of estimated initial life. An end of life warning can also be provided. In a particular embodiment, the amount of remaining life (either as a percentage or in real time units) can be based on the average number of erases per block, but augmented by the number of spare blocks or other parameters, so that an end of life warning is given if either the expected amount of remaining life falls below a certain level or the number of spare blocks falls below a safe level.

A system and method for determining a remaining life estimate of the remaining battery life of a battery of an implantable medical device (IMD). The IMD battery preferably exhibits a highly reproducible monotonically decreasing discharge curve. The estimated remaining life estimates are derived by periodically measuring battery voltage, and estimating the estimated past current drain of the IMD comprising an average of the sum of the quiescent current drain and therapy delivery current drain, and determining the estimated remaining longevity from the measured voltage and the estimated past current drain.

A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.

A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.

A shipping container is described for use with methods for monitoring and controlling shipment of a temperature controlled material and determining the remaining useful life of a Thermal Source contained within the shipping container. The container comprises an inner enclosure adapted to carry one or more commodities during shipment, a bladder conformed to the inner surface of the inner chamber, or a plate upon which commodities are place, and instrumented with at least one transducer and at least one processing device configured to receive measurements from the at least one transducer. The processing device communicates the measurements to a networked device upon detecting the presence of a network. The networked device may transmit commands to the processing device that causes the processing device to adjust a configuration parameter.

A method, system, and computer program product for performing prognosis and asset management services is provided. The method includes calculating an accumulated damage estimate for a component via a diagnostics function and applying future mission data for the component to at least one model that calculates accumulated damage or remaining life of the component. The method also includes inputting the accumulated damage estimate to the model and aggregating damage over time and quality assessments produced by the model. The method further includes calculating a damage propagation profile and remaining life estimate for the component based on the aggregating and providing an uncertainty estimate for the damage estimate and the remaining life estimate.

A system (10) and method for monitoring the operational life and / or performance of one or more light-emitting diodes (LEDs) (20) based on sensed parameters are disclosed. The remaining life of each LED may be predicted by counting the clock cycles during which the LED-based light is activated. LED current and / or temperature measurements may be used to control the clock signal and, thus, to compensate the predicted life value. Furthermore, operational characteristics of the LED-based light may be monitored based on LED current and / or voltage measurements. Such characteristics may include performance (e.g., intensity) and failure conditions (e.g., open or short circuits).

A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.

A system and methods are given for providing information on the amount of life remaining for a memory having a limited lifespan, such as a flash memory card. For example, it can provide a user with the amount of the memory's expected remaining lifetime in real time units (i.e., hours or days) or as a percentage of estimated initial life. An end of life warning can also be provided. In a particular embodiment, the amount of remaining life (either as a percentage or in real time units) can be based on the average number of erases per block, but augmented by the number of spare blocks or other parameters, so that an end of life warning is given if either the expected amount of remaining life falls below a certain level or the number of spare blocks falls below a safe level.

A method for determining reliability and a remaining time before failure with statistical confidence for a motor system includes acquiring historical motor data in a computer system, obtaining operational parameter data, uploading the operational parameter data to the computer system, performing failure analysis, developing a causal network, and performing an integrated causal network and reliability analysis of the motor system. The historical motor data corresponds to the motor system. The operational parameter data is obtained from sensors at the motor system. The sensors include a tan delta sensor. The failure analysis is performed based on a composite of reliability probability distributions corresponding to predetermined sub-populations of historical motor system failure causes. The causal network is developed for modeling reliability of one or more motor system components and assessing motor system component condition based on the causal network. Results from the performing failure analysis are integrated with results from the assessing motor system component condition based on the causal network to compute a quantitative value for a time remaining before failure with an ascertained statistical confidence.

An environmental degradation sensor for environmentally sensitive products such as food, pharmaceuticals or cosmetic products provides the degraded state and estimated remaining life of the product. The sensor is made of a polymeric matrix and conductive filler. A control agent, selected to adjust a reaction rate of the sensor to environmental conditions, allows correlation of an electrical property of the sensor to a degraded state of the product. The sensor may be integrated with a passive RFID to provide product identification and degradation status wirelessly via reader. The sensor improves product safety, reduces cost of premature product disposal and, combined with RFIDs, improves the security of products through combined product degradation monitoring and tracking.

A battery life predicting apparatus comprises a data processing unit for obtaining and processing data on a vehicle having a battery used as a power source of the vehicle, the data including battery environment data, power consumption data concerning electrical components, and vehicle running data, a recording unit for recording vehicle characteristic data and histories of the data obtained and processed, a storage for storing data concerning battery deterioration obtained in a vehicle running test, and a controller for estimating a degree of battery deterioration relative to durable years of the battery from the data recorded in the recording unit and calculating remaining life of the battery, and presents the remaining life of the battery to a driver in the display. Further, a battery life warning apparatus estimates a timing of replacing the battery and presents a level of warning to the driver.

An uninterruptible power supply (“UPS”) is provided with a backup power supply that has an adjustable reserve power level that is based on a user's input and / or is configured to notify a user if a battery included in the UPS needs to be replaced. In one embodiment of the present invention, the UPS (or a circuit included therein) estimates a remaining life (ERL) of the battery by considering various battery conditions, including, but not limited to, a predetermined battery life expectancy, whether the battery is being used to power a load, and battery temperature. If it is estimated that the ERL is low, or below a predetermined threshold, then the UPS (or a circuit included therein) is configured to notify a user that the battery needs to be replaced.