AVIATION INDUSTRY PREDICTIVE MAINTENANCE

 

ScoutCam’s condition-based monitoring and predictive maintenance platform provides aviation manufacturers, suppliers and MROs with real-time data and AI based analytics to secure their continued operations and reduce downtime.

predictive maintenance aviation

INDUSTRY 4.0 VISUALIZATION FOR THE AVIATION INDUSTRY

In the aviation industry, maintenance, repair and overhaul (MRO) tasks are critical to ensuring the highest levels of aircraft safety and operability. However, there are inspection and maintenance inefficiencies that can result in the costly and time-consuming disassembling of aircraft structures or unanticipated failures that mitigate any gains the maintenance processes are meant to produce.

OPERATING EQUIPMENT IN THE FACE OF AVIATION’S MANY CHALLENGES

Aircraft maintenance is meant to reduce significant unplanned malfunctions and repairs that cause downtime and costs. However, factors such as the size, shape and configuration of an aircraft machine and extreme environmental conditions make the thorough inspection of critical areas and components difficult or impossible.

ScoutCam’s image-based AI solution enhances maintenance procedures by facilitating access to aircraft areas that are difficult to reach. Using a new visualization sensor provides new types of data, with monitoring capabilities which are out of scope for existing, traditional sensors. It takes it a step further by providing AI-backed insights that details the real-time condition of the inspection site. Using ScoutCam’s technology is essential for implementing a real PdM architecture, enabling:

Aviation Decrease Downtime

DECREASING DOWNTIME

Reducing Costs of Product

REDUCING COSTS OF PRODUCT/PROCESS DISABLING

Aviation Reduce Costs

MINIMIZING COSTS OF UNNECESSARY PART REPLACEMENT

Aviation Root Cause Analysis

ENABLE RICHER DATA GATHERING FOR INSIGHT AND FASTER ROOT CAUSE ANALYSIS

Aviation Spare Parts Management

IMPLEMENTING MORE EFFICIENT SPARE PARTS MANAGEMENT

VISUALIZATION

Leveraging ScoutCam’s expertise in minimally sized visualization solutions to bring “eyes” into hard to reach places (inaccessible or requiring dismantling of many components) and withstanding harsh environments to gain new essential data never seen before.

ANALYSIS

Utilizes AI algorithms in real-time or offline to understand the current condition of the monitored component (in parallel – CBM). From early detection of a “birth” of a fault, and through its development, alerts on anomalies detection and continuous change monitoring can be used for pre/ post- flight inspection purposes or in real-time during operation (i.e. flight)

PREDICTION

An advanced layer of AI-powered algorithms to follow the trend of an evolving fault or damaged condition and provide a prediction to the expected failing point of the component, helping to minimize the possibility of unscheduled downtime and potential risk of life loss.


EXAMPLES OF CURRENTLY DEPLOYED SCENARIOS AND USE CASES:


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image-master

ImageMaster™

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ScoutCam Starter Kit Probe 1.8mm

Starter-Kit Probe 1.8mm

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One Pager ScoutCam

One Pager

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