Predictive maintenance in transportation
Because transportation 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 and 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 and 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.
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.
Use cases
Predictive maintenance and aerospace
Amiral Technologies is a member of GIFAS – Groupement des Industries Françaises Aéronautiques et Spatiales – and a member of the StartAir club.
Aerospace maintenance costs are high, and so are the losses caused by breakdowns. For industry players, optimal predictive maintenance is not an option, but an imperative for their future.
Use cases
Predictive maintenance and aerospace
Amiral Technologies is a member of GIFAS – Groupement des Industries Françaises Aéronautiques et Spatiales – and a member of the StartAir club.
Aerospace maintenance costs are high, and so are the losses caused by breakdowns. For industry players, optimal predictive maintenance is not an option, but an imperative for their future.
Use cases
The challenges of the naval industry
In the naval industry, maintaining equipment in operational condition is particularly important.
While this is especially true for defense ships, it also applies to civilian ships, which also carry critical, complex equipment that must remain functional during the voyage at sea, at the risk of compromising the success of the mission, jeopardizing the crew’s safety and incurring considerable costs.
Use cases
The challenges of the naval industry
In the naval industry, maintaining equipment in operational condition is particularly important.
While this is especially true for defense ships, it also applies to civilian ships, which also carry critical, complex equipment that must remain functional during the voyage at sea, at the risk of compromising the success of the mission, jeopardizing the crew’s safety and incurring considerable costs.
