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Predictive Maintenance Ltd
Lismore, Ireland
A
1-10 Employees
1989
Key takeaway
Predictive Maintenance is a prominent provider of condition monitoring services in Ireland, specializing in smart maintenance solutions for various companies since 1988.
Highlighted product
Core business
training - Predictive Maintenance
Industrial & Marine Predictive Maintenance
Ilion, Greece
B
1-10 Employees
2015
Key takeaway
The Industrial & Marine Predictive Maintenance company specializes in predictive maintenance through certified inspections for gas leaks and mechanical applications, utilizing advanced technologies like Ultrasound and Thermal Imaging.
Highlighted product
Core business
www.impredictivemaintenance.com
Prompt Solution
Richmond, United States
B
11-50 Employees
-
Key takeaway
Prompt Solutions specializes in integrated Predictive Maintenance (iPdM) services, offering comprehensive solutions that optimize operations for various industries, including oil and gas. Their expertise in Vibration Analysis, Infrared Thermography, and other advanced monitoring techniques supports effective predictive maintenance programs.
Highlighted product
Service
Predictive Maintenance Services - Prompt Solutions Co., Ltd
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Collaborating Solutions
Excelsior, United States
B
1-10 Employees
2014
Key takeaway
The company emphasizes its innovative approach to predictive maintenance by leveraging cloud and mobile technologies, making it accessible for organizations of all sizes to monitor their machines effectively and reduce costs as they scale.
Highlighted product
Core business
PREDICTIVE MAINTENANCE – Wireless and Cloud-based - Collaborant Solutions
We are the first company to harness the cloud and mobile so that any company can do predictive maintenance every day from anywhere.
Predictive Management System
Winnipeg, Canada
A
1-10 Employees
-
Key takeaway
The company highlights its innovative Predictive Maintenance (PdM) procedure, emphasizing its application and basic technologies, which are crucial for enhancing operational efficiency.
Highlighted product
Core business
predictivemanagementsystem – PdM Application
PdM Specialists
United States
B
1-10 Employees
2006
Key takeaway
PdM Specialists is dedicated to helping customers achieve their performance goals through predictive maintenance solutions. They offer timely reporting of equipment condition using both remote monitoring and on-site services, ensuring a comprehensive approach to maintaining assets.
Highlighted product
Core business
PdM Specialists — Predict, Prevent, Maintain
At PdM Specialists, we provide and integrate predictive maintenance solutions. We provide both remote and on-site services.
E-Repair Srl Service Partner Siemens
Livorno, Italy
B
11-50 Employees
2007
Key takeaway
E-Repair emphasizes its commitment to reducing plant downtime through its advanced repair processes and the availability of courtesy products, which aligns with the principles of predictive maintenance. Their qualified technicians utilize cutting-edge testing tools to restore electronic devices, ensuring optimal performance and functionality.
Highlighted product
Service
Industry predictive maintenance
Mitek Analytics
Palo Alto, United States
B
1-10 Employees
-
Key takeaway
Mitek focuses on enhancing supply chain management through advanced analytics, providing observability in maintenance and operations. Their expertise, supported by the US Air Force, directly relates to predictive maintenance, making it a key aspect of their analytics offerings.
Highlighted product
Service
Predictive Maintenance – Mitek Analytics
PREDICT Australia Pty Ltd
Adelaide, Australia
A
1-10 Employees
2018
Key takeaway
Predict has successfully implemented predictive maintenance strategies for mining companies, notably by designing indicators that monitor equipment health and performance. Their cloud-based platform, KASEM®, provides timely alerts for maintenance needs, leading to significant reductions in maintenance costs and failures.
Highlighted product
Core business
PREDICT – Predictive Technology for Industries
Automatic Controls Co
Town of Massena, United States
B
1-10 Employees
-
Key takeaway
The company offers a variety of predictive maintenance sensors and systems, highlighting their expertise in providing intelligent instruments and measurement equipment for this purpose.
Highlighted product
Product
Predictive Maintenance — Products
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Service
Offshore Converter Station Maintenance and Servicing
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Predictive maintenance employs advanced analytics and machine learning to forecast equipment failures before they occur. By analyzing historical data, sensor readings, and operational conditions, this approach enables organizations to schedule maintenance activities efficiently, minimizing downtime and reducing costs. With its capability to predict potential issues, predictive maintenance enhances asset reliability and operational efficiency. Companies can transition from reactive to proactive maintenance strategies, ensuring that equipment is serviced only when necessary, thus extending the lifespan of machinery and optimizing performance.
Predictive maintenance leverages advanced technologies to forecast equipment failures before they occur. By utilizing sensors, data analytics, and machine learning algorithms, it collects and analyzes real-time data from machinery. This data includes parameters such as temperature, vibration, and pressure, allowing for the identification of patterns and anomalies indicative of potential issues. With predictive maintenance, organizations can schedule maintenance activities based on actual equipment condition rather than relying on fixed schedules. This approach minimizes downtime, reduces maintenance costs, and extends the lifespan of assets. By anticipating failures, companies can ensure operational efficiency and enhance overall productivity.
1. Manufacturing
Manufacturing industries benefit significantly from predictive maintenance by minimizing downtime and optimizing production processes. Utilizing data analytics and IoT sensors, manufacturers can predict equipment failures before they occur, ensuring smoother operations and reduced maintenance costs.
2. Transportation and Logistics
In transportation and logistics, predictive maintenance helps in monitoring the health of vehicles and equipment. By predicting when a vehicle might require maintenance, companies can prevent breakdowns, enhance safety, and improve overall fleet efficiency.
3. Energy and Utilities
The energy sector relies on predictive maintenance to monitor the condition of power generation equipment. This approach helps avoid unexpected outages, prolongs asset life, and ultimately supports a more reliable energy supply.
4. Healthcare
Healthcare facilities benefit from predictive maintenance by ensuring that medical equipment remains operational. This proactive approach reduces the risk of equipment failure, which is critical for patient care and operational efficiency.
5. Oil and Gas
In the oil and gas industry, predictive maintenance is crucial for monitoring drilling equipment and pipelines. By predicting potential failures, companies can mitigate risks, reduce downtime, and enhance operational safety.
Key technologies in predictive maintenance include Internet of Things (IoT) IoT devices collect real-time data from machinery and equipment, enabling continuous monitoring and analysis of performance metrics. Machine Learning Machine learning algorithms analyze historical data to identify patterns and predict potential failures, improving maintenance scheduling and reducing downtime. Big Data Analytics This technology processes large volumes of data from various sources, facilitating more accurate predictions and insights into equipment health. Cloud Computing Cloud platforms provide scalable storage and computing power, allowing for efficient data management and accessibility for predictive maintenance applications.
Predictive maintenance plays a crucial role in asset management by significantly reducing downtime and maintenance costs. By using data analytics and machine learning, organizations can anticipate equipment failures before they occur. This proactive approach allows for timely interventions, extending the lifespan of assets and improving overall operational efficiency. Furthermore, predictive maintenance enhances resource allocation, as maintenance activities can be scheduled based on actual equipment condition rather than relying on fixed schedules. This results in optimized maintenance practices and improved reliability of assets, ultimately leading to increased productivity and reduced operational disruptions.
Some interesting numbers and facts about your company results for Predictive Maintenance
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 3609 |
| Amount of suitable service providers | 4989 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1989 |
| Youngest suiting company | 2018 |
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Some interesting questions that has been asked about the results you have just received for Predictive Maintenance
What are related technologies to Predictive Maintenance?
Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other, Manufacturing, Oil, Energy and Gas, Construction
How does ensun find these Predictive Maintenance Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
