PATENT CLAIM ANALYSIS

Application Number: 15888446
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["702", "185000"]

Abstract:
Discussed herein are a sensor-network system and a method thereof for detecting and isolating faults occurring in sub-systems and sensors included in the network. The sub-systems and the sensor measurements are subject to noise and disturbances. A bank of Kalman-filters (KF) is used to detect and isolate the faults. Each KF is driven by either a pair of consecutive sensor measurements or a pair including a reference input and a sensor measurement. The KF residual is computed for each measurement pair and is a reliable indicator of a fault in subsystems and sensors located in the network.

Claim (Index 1):
A method for detecting and isolating faults in a fluid tank sensor network including a plurality of sub-systems connected in a cascade, parallel and a feedback fashion. the method comprising:\n receiving, by a processing circuit, a plurality of signal measurement pairs in the sensor network, wherein each signal measurement pair corresponds to a path in the sensor network, and drives a Kalman-filter corresponding to the path in the sensor network; computing, by the processing circuit, a Kalman-filter residual for each signal measurement pair, wherein the Kalman-filter residual indicates the presence of a fault on the path corresponding to the signal measurement pair, when the plurality of signal measurement pairs are associated with all of the plurality of sub-systems; assigning for each signal measurement pair, a binary-detection value for each sensor and sub-system lying on the path corresponding to the signal measurement pair, based on the computed Kalman-filter residual and a predetermined threshold corresponding to the signal measurement pair; computing, by the processing circuit, a binary-decision value for each sensor and sub-system in the sensor network, by performing a logical-AND operation of the assigned binary-detection values of the sensors and sub-systems; determining, by the processing circuit. a correlation between the Kalman-filter and hypothesized residual estimates when the plurality of signal measurement are associated with one or more sub-systems to be diagnosed; computing, by the processing circuit, influence vectors based on a maximum correlation; and diagnosing and isolating, by the processing circuit, one or more faults in the sensor network based on the influence vectors or the binary-decision value of each sensor.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 88.0
- Lexical Diversity: 1.7931
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14695987', '14152064', '15000725', '15333773', '11171447']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2026691969975413
- 35 USC 102 Novelty (BERT): 0.554114955736656
- Combined Prediction Score: 0.2378137728714528
- Mean Citation Score: 238.397638
- Max Citation Score: 423.60297
- Similarity Product: 394.2981620557845

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test