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 7):
The method of  claim 1 , further comprising:\n computing, by the processing circuit. an auto-correlation of the Kalman-filter residual for each signal measurement pair to indicate a presence of the fault in the path corresponding to the signal measurement pair.

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): 0.2038733454978512
- 35 USC 102 Novelty (BERT): 0.5508853652933675
- Combined Prediction Score: 0.2385745474774029
- Mean Citation Score: 238.397638
- Max Citation Score: 423.60297
- Similarity Product: 359.8514554294217

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