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 3):
The apparatus of  claim 1 , wherein the calculating portion further comprises:\n a calculating unit, configured to calculate 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: \ue89e ( 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 ) \u22ee 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 ; wherein E i  represents the ith component; S represents the sensor; m represents the number of the sensors; and 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): 0.2147932671066528
- 35 USC 102 Novelty (BERT): 0.5002565436262698
- Combined Prediction Score: 0.2433395947586145
- Mean Citation Score: 186.220998
- Max Citation Score: 203.27025
- Similarity Product: 123.11405726855992

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