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 7):
A locomotive according to  claim 2  wherein:\n the control system is configured to store first cost information comprising a first cost associated with running the first engine on the first fuel and second cost information comprising a second cost associated with running the second engine on the second fuel; \n the one or more characteristics of the first fuel comprises the first cost information and the corresponding one or more characteristics of the second fuel comprises the second cost information, wherein the first cost information is lower than the second cost information and 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: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13839615', '14480846', '13841198', '15136181', '14217082']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4114717009043723
- 35 USC 102 Novelty (BERT): 0.5126800678979367
- Combined Prediction Score: 0.4215925376037287
- Mean Citation Score: 247.94468
- Max Citation Score: 263.07507000000004
- Similarity Product: 161.61837149189475

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