Predictive maintenance in transportation
Because Transport market is an ever-evolving connected industry – connected cars, connected planes and helicopters, connected trains, connected ships – operators and manufacturers must mobilize huge investments in sensors to deliver low-carbon, ideally 100% safe vehicles.
Predictive maintenance software solutions’ ability to adapt to different operating environments, be embedded in devices/sensors, and provide versatile models is paramount for these companies.
Automotive and failure prediction
The connected car data market is estimated to be worth $250 to $400 billion by 2030.
Indeed, this data is worth its weight in gold to many mobility players and automotive service providers.
The challenge is to use this valuable data in the most useful way possible, which can be summarized in three main areas:
- safety,
- product improvement
- personalization of the user experience
Use cases
Automotive and failure prediction
The connected car data market is estimated to be worth $250 to $400 billion by 2030.
Indeed, this data is worth its weight in gold to many mobility players and automotive service providers.
The challenge is to use this valuable data in the most useful way possible, which can be summarized in three main areas:
- safety,
- product improvement
- personalization of the user experience
Use cases
Predictive maintenance in the railway sector
The rail transport sector, in particular, must meet major challenges in terms of equipment availability and reliability.
The logistical and financial repercussions of a malfunction in this sector are rarely trivial, and the slightest safety flaw can have tragic consequences.
At the same time, it is important to note that trains and traffic infrastructures have a particularly long lifespan, and that a large part of the railway fleet is aging and incompatible with data transmission technologies.
Our DiagFit software makes it possible to implement a predictive maintenance approach with a very low volume of data.
Use cases
Predictive maintenance in the railway sector
The rail transport sector, in particular, must meet major challenges in terms of equipment availability and reliability.
The logistical and financial repercussions of a malfunction in this sector are rarely trivial, and the slightest safety flaw can have tragic consequences.
At the same time, it is important to note that trains and traffic infrastructures have a particularly long lifespan, and that a large part of the railway fleet is aging and incompatible with data transmission technologies.
Our DiagFit software makes it possible to implement a predictive maintenance approach with a very low volume of data.
Use cases
Predictive maintenance for aerospace
Aerospace maintenance costs are high, and so are the losses caused by breakdowns.
For aerospace players, optimal predictive maintenance is not an option, but an imperative for their future.
Our DiagFit failure prediction software is agnostic, covering a wide variety of use cases while meeting the demanding criteria of this sector.
Amiral Technologies is a member of GIFAS – Groupement des Industries Françaises Aéronautiques et Spatiales – and a member of the StartAir club.
Use cases
Predictive maintenance for aerospace
Aerospace maintenance costs are high, and so are the losses caused by breakdowns.
For aerospace players, optimal predictive maintenance is not an option, but an imperative for their future.
Our DiagFit failure prediction software is agnostic, covering a wide variety of use cases while meeting the demanding criteria of this sector.
Amiral Technologies is a member of GIFAS – Groupement des Industries Françaises Aéronautiques et Spatiales – and a member of the StartAir club.
Use cases
The challenges of the naval industry
In the naval industry, maintaining equipment in operational condition is particularly important.
This observation is true whether for defense ships or civilian ships, which operate in a complex environment and which must imperatively remain functional for the duration of the sea voyage.
A failure risks, among other things, compromising the success of the mission, endangering the safety of the crew or causing considerable costs.
DiagFit, our failure prediction software, allows you to implement a predictive maintenance solution whether on land or sea.
Use cases
The challenges of the naval industry
In the naval industry, maintaining equipment in operational condition is particularly important.
This observation is true whether for defense ships or civilian ships, which operate in a complex environment and which must imperatively remain functional for the duration of the sea voyage.
A failure risks, among other things, compromising the success of the mission, endangering the safety of the crew or causing considerable costs.
DiagFit, our failure prediction software, allows you to implement a predictive maintenance solution whether on land or sea.
