Locomotive bOgie Condition mAinTEnance
Sector: Education • Location: Portugal, United Kingdom, Spain, France
Source: EU Funding & Tenders Portal
The LOCATE project will develop a set of tools to access the condition of freight locomotive bogies to imple-ment a condition based maintenance program. It is the goal of LOCATE to contribute to an optimization of the availability of rolling stock, the quality of service, maintenance costs and return of investment. The LOCATE project consortium is composed by 6 entities from 4 different countries,
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The LOCATE project will develop a set of tools to access the condition of freight locomotive bogies to imple-ment a condition based maintenance program. It is the goal of LOCATE to contribute to an optimization of the availability of rolling stock, the quality of service, maintenance costs and return of investment. The LOCATE project consortium is composed by 6 entities from 4 different countries, namely: - EVOLEO Technologies: SME dedicated to the development of critical electronic systems; - IST Instituto Superior Técnico: University and Research Centre - University of Huddersfield: University and Research Centre - FGC Ferrocarrils de la Generalitat de Catalunya: Railway Operator, Railway Infrastructure Manager, Railway Entity in charge of Maintenance, Research - UIC International Union of Railways: International Association of Railways Operators and Infrastruc-ture Managers - VIBRATEC: SME dedicated to sensing technologies. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
