// ROBOTICS AND SMART FACTORIES TERM
Predictive Maintenance
A maintenance strategy that uses data analysis and sensors to predict when equipment might fail, allowing for proactive repairs before breakdowns occur. This minimizes downtime and extends asset life.
TECHNICAL DEFINITION
Predictive Maintenance (PdM) is a maintenance strategy leveraging IIoT sensor data, machine learning algorithms, and real-time analytics to forecast potential equipment failures, enabling proactive intervention and minimizing unplanned downtime in manufacturing.
BACKGROUND
Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to estimate when maintenance should be performed. This approach claims more cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted. Thus, it is regarded as condition-based maintenance carried out as suggested by estimations of the degradation state of an item.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Condition-based maintenance
- proactive maintenance
- smart maintenance
- prescriptive maintenance
USAGE NOTE
It reduces downtime and maintenance costs by scheduling repairs only when needed, based on actual equipment condition.
DEVELOPERS
Organizations developing technology related to Predictive Maintenance.
A global industrial manufacturing company that provides predictive maintenance solutions through its MindSphere cloud-based IoT platform, which analyzes operational data to predict machine failures and optimize maintenance schedules.
An enterprise AI software company offering the C3 AI Reliability application, which uses machine learning to predict asset failure, identify root causes, and recommend corrective actions for industrial equipment.
Specializes in 'Machine Health as a Service', using IoT sensors and AI-powered diagnostics to monitor equipment in real-time, detect malfunctions, and prescribe specific maintenance actions to prevent downtime.
A subsidiary of General Electric focused on industrial software. Their Asset Performance Management (APM) software, built on the Predix platform, uses advanced analytics and digital twins for predictive and prescriptive maintenance.
Provides industrial intelligence software-as-a-service (SaaS) that uses AI and machine learning to analyze data from industrial assets, predicting failures and improving operational efficiency for manufacturing and other heavy industries.
A multinational engineering and technology company that develops connected industry (Industry 4.0) solutions, including predictive maintenance services that leverage AI and the Bosch IoT Suite to monitor machine health.
An industrial automation and information technology provider. They offer predictive maintenance capabilities through their FactoryTalk InnovationSuite and partnerships, leveraging data from PLCs and other control systems.
Offers the IBM Maximo Application Suite, an integrated platform for intelligent asset management. It uses AI, IoT data, and analytics from IBM Watson to monitor asset health and enable predictive maintenance.