US 12,682,303 B2 · Method for device monitoring · patentgrep

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Abstract

A method for device monitoring includes: providing a plurality of fleet measurement data for at least one device, where the plurality of fleet measurement data includes a number of fleet device data measurements “Nfleet;” providing a plurality of device measurement data for a monitored device, where the plurality of device measurement data includes a number of monitor device data measurements “Ndata;” determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data; determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data; determining an effective number of data measurements “Neff;” and determining a probability of failure of the monitored device, the determining including utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements “Neff.”

Claims22

Dependent claims

A method for device monitoring, comprising:

a) providing a plurality of fleet measurement data for at least one device, wherein the plurality of fleet measurement data comprises a number of fleet device data measurements “Nfleet”;
b) providing a plurality of device measurement data for a monitored device, wherein the plurality of device measurement data comprises a number of monitor device data measurements “Ndata”;
c) determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data;
d) determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data;
e) determining an effective number of data measurements “Neff”, “Neff” being a parameter to weight “Fdist” relative to “Ddist”;
and
f) determining a probability of failure of the monitored device, the determining comprising utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements “Neff”;
scheduling maintenance for the monitored device based at least in part on the probability of failure;
wherein step f) comprises:
A1) taking a start measurement datum from the plurality of device measurement data;
A2) selecting either the fleet distribution “Fdist” or the device distribution “Ddist”, comprising utilization of at least one probability of selection;
A3) selecting a data value from the distribution selected in step A2);
A4) determining a calculated device measurement value determined as the data value selected in step A3) added to the start measurement value for a first iteration or determined as the data value selected in step A3) added to an existing calculated device measurement value for iterations after the first iteration;
and
A5) iterating steps A2) to A4) until after a number of iterations the calculated device measurement value reaches a threshold failure value indicative of a failure limit of the device measurement value, and wherein determination of the probability of failure comprises utilizing the number of iterations to reach the threshold failure value.

12 more elements

A method for device monitoring, comprising:

a) providing a plurality of fleet measurement data for at least one device, wherein the plurality of fleet measurement data comprises a number of fleet device data measurements “Nfleet”;
b) providing a plurality of device measurement data for a monitored device, wherein the plurality of device measurement data comprises a number of monitor device data measurements “Ndata”;
c) determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data;
d) determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data;
e) determining an effective number of data measurements “Neff”, “Neff” being a parameter to weight “Fdist” relative to “Ddist”;
and
f) determining a probability of failure of the monitored device, the determining comprising utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements ‘Neff’;
scheduling maintenance for the monitored device based at least in part on the probability of failure;
wherein step f) comprises:
X1) taking a start measurement datum from the plurality of device measurement data;
X2) selecting either the fleet distribution “Fdist” or the device distribution “Ddist”, comprising utilization of at least one probability of selection;
and
X3) selecting a data value from the distribution selected in step X2),
wherein the probability of failure of the monitored device is determined from a statistical simulation technique starting from the value selected in step X1) and using consecutive values selected in a plurality of steps X3);
in step X2) a probability of selecting the fleet distribution “Fdist” is calculated on a basis of the effective number of data measurements divided by the sum of the effective number of data measurements and the number of monitor device data measurements “Neff/(Neff+Ndata)”, and
in step A2) a probability of selecting the device distribution “Ddist” is calculated on a basis of the number of monitor device data measurements divided by the sum of the effective number of data measurements and the number of monitor device data measurements “Ndata/(Neff+Ndata)”.

13 more elements

A method for device monitoring, comprising:

a) providing a plurality of fleet measurement data for at least one device, wherein the plurality of fleet measurement data comprises a number of fleet device data measurements “Nfleet”;
b) providing a plurality of device measurement data for a monitored device, wherein the plurality of device measurement data comprises a number of monitor device data measurements “Ndata”;
c) determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data;
d) determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data;
e) determining an effective number of data measurements “Neff”, “Neff” being a parameter to weight “Fdist” relative to “Ddist”;
and
f) determining a probability of failure of the monitored device, the determining comprising utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements “Neff”;
scheduling maintenance for the monitored device based at least in part on the probability of failure;
wherein step f) comprises:
Y1) taking a start measurement datum from the plurality of device measurement data;
and
Y2) selecting either the fleet distribution “Fdist” or the device distribution “Ddist”, comprising utilization of at least one probability of selection,
wherein the probability of failure of the monitored device is determined comprising utilization of a mathematically known first-passage distribution for the initial value determined in Y1) and the distribution determined in Y2);
in step Y2) a probability of selecting the fleet distribution “Fdist” is calculated on a basis of the effective number of data measurements divided by the sum of the effective number of data measurements and the number of monitor device data measurements “Neff/(Neff+Ndata)”, and
in step Y2) a probability of selecting the device distribution “Ddist” is calculated on a basis of the number of monitor device data measurements divided by the sum of the effective number of data measurements and the number of monitor device data measurements “Ndata/(Neff+Ndata)”.

12 more elements

A method for device monitoring, comprising:

a) providing a plurality of fleet measurement data for at least one device, wherein the plurality of fleet measurement data comprises a number of fleet device data measurements “Nfleet”;
b) providing a plurality of device measurement data for a monitored device, wherein the plurality of device measurement data comprises a number of monitor device data measurements “Ndata”;
c) determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data;
d) determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data;
e) determining an effective number of data measurements “Neff”, “Neff” being a parameter to weight “Fdist” relative to “Ddist”;
and
f) determining a probability of failure of the monitored device, the determining comprising utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements “Neff”;
scheduling maintenance for the monitored device based at least in part on the probability of failure;
wherein step f) comprises:
B1) determining a combined distribution utilizing the fleet distribution “Fdist” and the device distribution “Ddist”;
B2) taking a start measurement datum from the plurality of device measurement data;
B3) selecting a data value from the combined distribution determined in step B1);
B4) determining a calculated device measurement value determined as the data value selected in step B3) added to the start measurement value for a first iteration or determined as the data value selected in step B3) added to an existing calculated device measurement value for iterations after the first iteration;
and
B5) iterating steps B3) to B4) until after a number of iterations the calculated device measurement value reaches a threshold failure value indicative of a failure limit of the device measurement value, and wherein determination of the probability of failure comprises utilizing the number of iterations to reach the threshold failure value.

12 more elements

A method for device monitoring, comprising:

a) providing a plurality of fleet measurement data for at least one device, wherein the plurality of fleet measurement data comprises a number of fleet device data measurements “Nfleet”;
b) providing a plurality of device measurement data for a monitored device, wherein the plurality of device measurement data comprises a number of monitor device data measurements “Ndata”;
c) determining a fleet distribution “Fdist” determined as a distribution of differences between consecutive measurements of the plurality of fleet measurement data;
d) determining a device distribution “Ddist” determined as a distribution of differences between consecutive measurements of the device measurement data;
e) determining an effective number of data measurements “Neff”, “Neff” being a parameter to weight “Fdist” relative to “Ddist”;
and
f) determining a probability of failure of the monitored device, the determining comprising utilising the fleet distribution “Fdist,” the device distribution “Ddist,” the number of monitor device data measurements “Ndata,” and the effective number of data measurements “Neff”;
scheduling maintenance for the monitored device based at least in part on the probability of failure;
wherein step f) comprises:
D1) determining a first probability of failure “Prob1” comprising utilisation of the fleet distribution “Fdist”;
D2) determining a second probability of failure “Prob2” comprising utilization of the device distribution “Ddist”;
and
D3) determining the failure of the monitored device comprising utilization of the first probability of failure “Prob1” and the second probability of failure “Prob2”;
wherein step D3) comprises determining a combined probability by summing a product of the effective number of data measurements multiplied by the first probability of failure and a product of the number of monitor device data measurements multiplied by the second probability of failure, and the sum divided by a sum of the effective number of data measurements and the number of monitor device data measurements “(Neff Prob1+Ndata*Prob2)/(Neff+Ndata)”.

11 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/560,921Filed 23 Dec 2021 · continuation
Priority: EP 1918343228 Jun 2019
Published: US 2022/0114519 A114 Apr 2022
Granted: 14 Jul 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

Family

PCT/EP2020/067515Parent of this continuation · filed 23 Jun 2020
US 2022/0114519 A1Pre-grant publication · published 14 Apr 2022
US 12,682,303 B2This patent

From the US filing history. Foreign family members aren’t listed.

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