Optimize Maintenance Schedules with Prediction
Predictive maintenance is a proactive approach to maintaining equipment that involves using data and analytics to predict when equipment is likely to fail or require maintenance. By analyzing usage data and identifying patterns that suggest maintenance is needed, industry professionals can schedule maintenance at a time that is most convenient and cost-effective. This approach helps to optimize equipment usage and can result in significant cost savings by reducing the overall cost of maintenance.
Unplanned Downtime:
The Obvious Costs are just the tip of the Iceberg
82%
of companies faced downtime
800H
of downtime per year
$22K
per minute of downtime
$50B
overall cost per year
Forbes – Unplanned Downtime Costs More Than You Think
How Predictive Maintenance Help
Autonomous analysis of sensor data supports transparency of machine health and paves the way for highly accurate predictions for future failures.
Eliminating Unplanned Downtime
By forecasting possible malfunctions, predictive maintenance applications can eliminate unforeseen downtime.
Reduced Energy and Maintenance Costs
Eliminating possible malfunctions way before they turn into catastrophic events enables facilities to bring down energy and maintenance costs.
Evaluate Maintenance Activities
Improper maintenance actions cause misalignment, mechanical looseness and more. It reduces equipment lifetime and causes unexpected downtime after maintenance.
Working Against Unplanned Downtime
Our solutions operate and watch over machinery 24/7 not missing any beat letting you plan your downtime, and ensuring smooth operations.
Remaining Useful Lifetime
With Sensemore AI, gradual faults can be detected in their earliest stages and their advancement can be predicted by creating remaining useful lifetime estimation.
Reliability Experts
Easily request an inspection for the suspicious health state of your machines. Our expert engineers are ready to discuss.
Precise Diagnostics From Day One
We offer an end-to-end solution to predict and prevent machinery malfunctions. Our AI-backed technology identifies root causes months in advance.
High Quality Data
Many applications fail due to improper sensors and data acquisition settings. We run an assessment to ensure data is collected from the right location and right moment with our dedicated devices.
Digitalized Machinery
Changing machine types and processes make predictive maintenance difficult. By digitizing your machines and processes, we ensure that the most appropriate analyzes are made.
Root-Cause Detection
Anomaly detection is insufficient to assist maintenance operations. The root cause classification capability of Sensemore AI increases the efficiency of maintenance operations and reduces costs.
Blog Posts
We share our knowledge with the community, please check our blog pages. If you need further information feel free to contact us.
January 30, 2023
Predictive Maintenance and Pulp & Paper Industry
Predictive maintenance improves efficiency and prevents downtime in the pulp and paper industry by detecting equipment…
October 25, 2022
Predictive Maintenance with Electrical Signature Analysis
Predictive maintenance through machine health monitoring aims to prevent costly unplanned downtime using analysis…
September 15, 2022
Understanding the Machine Data
Machine data is generated by physical attributes and actions of machines, collected by sensors and analyzed for…
July 13, 2022
Preventive vs Predictive Maintenance
IIoT allows for the use of smart sensors and AI/ML in manufacturing to improve production and industrial processes…
March 2, 2022
First Step in AI Based Predictive Maintenance
Predictive maintenance using AI can prevent equipment failures by predicting when maintenance is needed. Rule-based…
January 30, 2022
Importance of Integration of Condition Monitoring into Existing Systems
Integration of condition monitoring systems into existing systems, such as SCADA, DCS, PLC, and RTU, is crucial to the…
February 28, 2021
Condition Monitoring in CNC Machines and Case Study
Machine tools, critical for manufacturing industries, need maintenance for performance and profitability. Spindle unit…
December 21, 2020
Hidden Costs in Maintenance Organizations
In manufacturing companies, reducing maintenance costs can greatly decrease total costs, but a reactive approach of…
November 17, 2020
What is Condition Monitoring?
Condition Monitoring detects faults in machines/equipment through observing parameters such as vibration, temperature,…
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