International Business Machines Corporation

Robert Boschgmbh

Matthias Woehrle

Tobias Webel

Scott Barnett Swaney

Kenneth Lundy Ward

Ulrich Weiss

Thuyen Le

Konrad Groh

Roland Norden

Erik Tonner

Jens-Holger Barth

Mona Meister

Andreas Hopf

Frank Kowol

Tilman Gloekler

Michael B Kugel

Christoph Gladisch

Thomas Heinz

Christian Heinzemann

Daniel Becker

Rafael Keggenhoff

A method for operating an injection valve by ascertaining an opening time and/or closing time of the injection valve on the basis of a sensor signal. The method includes: providing an analysis point time series by sampling a sensor signal of a sensor of the injection valve; using a nonlinear, data-based first submodel in order to obtain a first model output on the basis of the analysis point time series; using a linear, data-based second submodel in order to obtain a second model output on the basis of the analysis point time series; ascertaining the opening time and/or closing time as a function of the first and second model outputs.

Method and apparatus for operating a fuel injection valve with the aid of machine learning methods

A computer-implemented method for ascertaining a closure point in time of an injector of an internal combustion engine using a classifier. The method includes: ascertaining a time series of input signals, each corresponding to a point in time within the time series, and each characterizing a deformation of the injector; ascertaining a plurality of first values using the classifier based on the time series, in each case a first value corresponding to a point in time of the time series, and the first value characterizing a probability that the closure point in time of the injector matches the point in time; ascertaining a plurality of second values, each being a sum of neighboring first values, of a first value and the first value, the second value corresponding to the point in time to which the first value corresponds; ascertaining the closure point in time based on the largest second value.

Method and device for ascertaining a closure point in time of an injector of an internal combustion engine with the aid of a machine learning system

A method or testing a system. Input parameters of the system are divided into a first group and a second group. Using a first method, a first selection is made from among the input parameter assignments of the first group. Using a second method, a second selection is made from among the input parameter assignments of the second group. A characteristic value is calculated from the second selection. The first selection is adapted depending on the characteristic value.

Method and apparatus for testing a system, for selecting real tests, and for testing systems with machine learning components

Techniques for accounting microprocessor resource consumption. The present invention provides an automatic method to timely determine the current microprocessor clock frequency. Information provided by timer facilities of the microprocessor is reused by sampling this information at constant intervals. Such direct derivation of the microprocessor clock frequency is a real-time method that also takes into consideration secondary effects. Examples for such secondary effects include clock frequency variations across chips due to manufacturing variations, any degradation due to performance loss by thermal, or other detrimental effects as well as any voltage changes. In the preferred embodiment of the invention, the real-time microprocessor clock frequency determination is implemented as part of the microprocessor itself. No additional service processors or other external hardware facilities are needed in order to control the microprocessor clock frequency determination function.

Accounting for microprocessor resource consumption

The present invention relates to a method for performing a logic built-in self-test (LBIST) on an electronic circuit with a plurality of logic circuits () and storage elements () connected serially to a number of LBIST stumps () between a pseudo-random-pattern generator () and a multiple-input-signature register (), wherein at least one constrained logic circuit () requires constrained values as input signals. Said method comprises the following steps: scanning the LBIST stumps () with the pseudo-random-pattern generator (), deactivating the multiple-input-signature register (), performing a functional update in order to propagate legal values into those storage elements (), which require constrained values, activating or resetting () the multiple-input-signature register (), and setting or programming a start value in a counter () for activating a loop back circuit () in order to avoid an overwriting of the well-constrained values in the storage elements ().

Method for performing a logic built-in-self-test in an electronic circuit

Redundant time-of-day (TOD) oscillators are aligned, within a master oscillator path, to local logic oscillator and used to create independent step-sync signals. A step checker validates and provides selection signals to identify which of the TOD oscillators operates according to a criterion. Independent step-sync signals are transmitted to several sibling chips. Local step and sync signals are delayed to arrive at TOD register nearly synchronous with TOD registers in sibling chips. A slave oscillator path may be used to select time signals generated in a sibling chip, whereby the master oscillator path is deselected. A primary control register set may be used to configure which among several chips is a master chip using the master oscillator path. All remaining chips are slave chips. All segments of the topology are redundant. One of multiple possible alternate topologies is defined in a secondary control register set. Commands and TOD values are passed on the fabric at predefined time increment boundaries to establish, restore, or maintain synchronization across all chips.

Fault tolerant time synchronization mechanism in a scaleable multi-processor computer

Method and apparatus for fault tolerant time synchronization mechanism in a scaleable multi-processor computer

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Boeblingen, Greece

Matthias Woehrle