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 19):
A locomotive according to  claim 1  wherein:\n the first power module and first fuel module are replaceable with an alternative power module and an alternative fuel module by disconnecting one or more attachment points and interconnectors of the first power module and the first fuel module and connecting one or more attachment points and interconnectors of the alternative power module and the alternative fuel module; and \n the control system is configured to identify the alternative power module and the alternative fuel module and select the second power output level and an a power output level of the alternative power module based at least in part on one or more characteristics of the second fuel relative to one or more corresponding characteristics of the fuel of the alternative fuel module.

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): 0.4428081085569153
- 35 USC 102 Novelty (BERT): 0.5039068001513904
- Combined Prediction Score: 0.4489179777163629
- Mean Citation Score: 247.94468
- Max Citation Score: 263.07507000000004
- Similarity Product: 196.0719965692592

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