PROGnostics based Reliability Analysis for Maintenance Scheduling

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PROGnostics based Reliability Analysis for Maintenance Scheduling

Process reliability - dependability

General description

In systems engineering, dependability is a measure of a system's availability, reliability, and its maintainability, and maintenance support performance, and, in some cases, other characteristics such as durability, safety and security. In software engineering, dependability is the ability to provide services that can defensibly be trusted within a time-period. This may also encompass mechanisms designed to increase and maintain the dependability of a system or software. (from https://en.wikipedia.org/wiki/Dependability)


Specifics for Project PROGRAMS | PROGnostics based Reliability Analysis for Maintenance Scheduling

Title PROGnostics based Reliability Analysis for Maintenance Scheduling
Description The PROGRAMS project aims at reaching its intended objective by developing the following novel technologies: An easy to install hardware system to collect process data and exploit them at machine
Comments PROGRAMS will allow to identify design problems or faulty components batches by comparing initial FMECA analysis with updated reliability information
 Periodic Reporting for period 1 - PROGRAMS (PROGnostics based Reliability Analysis for Maintenance Scheduling) Result title Periodic Reporting for period 1 - PROGRAMS (PROGnostics based Reliability Analysis for Maintenance Scheduling) Result description evaluate, analyse, post-process and store recorded data, and will actively or reactively interact both with the physical and digital world; ?
 Process reliability - dependability Taxon title Process reliability - dependability Taxon description In systems engineering, dependability is a measure of a system's availability, reliability, and its maintainability, and maintenance support performance, and, in some cases, other characteristics
 Occupational safety and health Comments PROGRAMS will allow to identify design problems or faulty components batches by comparing initial FMECA analysis with updated reliability information