PATENT CLAIM ANALYSIS

Application Number: 16053994
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["702", "183000"]

Abstract:
Disclosed is an apparatus for troubleshooting fault component in equipment and a method thereof. The device includes portions for building a fault-component-sensor Bayesian belief network model by acquiring component state-abnormal and data of fault maintenance of the equipment, and for calculating probabilities of actual component abnormality when a sensor connected with an component detects component abnormality based on the model; and arranging the probabilities in a descending order to obtain the arranged probabilities of actual component abnormality, and the top-arranged component being the one to be troubleshot first. Namely, a relational expression among the fault, the component and the sensor may be systematically built by adopting the method or the apparatus provided by the present disclosure, and the most-likely-failing component in an equipment may be quickly detected according to the expression, thereby improving troubleshooting efficiency.

Claim (Index 10):
The method of  claim 8 , wherein the step 3 further comprises:\n calculating the plurality of probabilities of actual component abnormality detected by the plurality of sensors connecting with each of the plurality of the components according to the following formula 1: \u2003 { P 1 = ( E i = abnormal \ue85c S i \ue89e \ue89e 1 = abnormal , S i \ue89e \ue89e 2 = normal , \u2026 \ue89e , S im = normal ) P 2 = ( E i = abnormal \ue85c S i \ue89e \ue89e 1 = abnormal , S i \ue89e \ue89e 2 = abnormal , \u2026 \ue89e , S im = normal ) \u2026 \u2026 \u2026 P 2 m - 1 = ( E i = abnormal \ue85c S i \ue89e \ue89e 1 = normal , S i \ue89e \ue89e 2 = abnormal , \u2026 \ue89e , S im = abnormal ) P 2 m = ( E i = abnormal \ue85c S i \ue89e \ue89e 1 = abnormal , S i \ue89e \ue89e 2 = abnormal , \u2026 \ue89e , S im = abnormal ) P Ei = P 1 + P 2 + \u2026 + P 2 m ( 1 ) where E i  represents the ith component; S represents the sensor; m represents the number of the sensors; P Ei  represents the probabilities that component E i  is detected abnormal by the plurality of sensors connecting with the component E i  and the E i  is actually abnormal.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 96.0
- Lexical Diversity: 1.90789
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['09758891', '14909788', '15823116', '13336153', '11868245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2138753362232265
- 35 USC 102 Novelty (BERT): 0.5057171111566707
- Combined Prediction Score: 0.2430595137165709
- Mean Citation Score: 186.220998
- Max Citation Score: 203.27025
- Similarity Product: 114.64173341345789

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