PATENT CLAIM ANALYSIS

Application Number: 15939684
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["701", "019000"]

Abstract:
Locomotives comprising a chassis configured for receiving various modules such as, for example, fuel storage modules and/or power modules. By employing a selected combination of fuel storage modules and power modules, a locomotive may be constructed to employ any of one or more types of fuel, such as liquid fuels and gaseous fuels. Batteries may be employed to maximize energy use. Multiple locomotives may function together as a ‘consist’ having differing types of engines and using different types of fuel. A control system may be employed to optimize use of the engines by prioritizing factors such as cost, fuel efficiency, noise reduction, emissions reduction, etc.

Claim (Index 5):
A locomotive according to  claim 2  wherein:\n the first fuel module comprises a first fuel level sensor connected to the control system and the second fuel module comprises a second fuel level sensor connected to the control system; and \n the one or more characteristics of the first fuel comprises a first fuel level of the first fuel as determined using the first fuel level sensor and the corresponding one or more characteristics of the second fuel comprises a second fuel level of the second fuel as determined using the second fuel sensor; \n the first fuel level is higher than the second fuel level; and \n the control system is configured to bias the power output level of the first engine to be higher than the power output level of the second engine.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 1.73913
- Patent Class: 701.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13839615', '14480846', '13841198', '15136181', '14217082']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4412898756162894
- 35 USC 102 Novelty (BERT): 0.5112912526670943
- Combined Prediction Score: 0.44829001332137
- Mean Citation Score: 247.94468
- Max Citation Score: 263.07507000000004
- Similarity Product: 173.09113190494895

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test