Continuity is the key
to moving forward
Detection of Breakdowns and Failures
In the world of manufacturing and production, machinery breakdowns can lead to significant financial losses, in addition to jeopardising delivery deadlines and customer satisfaction.
Teal Neural integrates with the machinery system and constantly monitors operational parameters, providing a comprehensive real-time view of machine performance. It learns from each machine’s normal operating patterns and detects deviations in trends that may indicate impending failures or breakdowns.
This enables operators and maintenance technicians to perform preventive maintenance or adjust the machinery before production interruptions occur, significantly reducing downtime, improving operational efficiency, and resulting in substantial cost savings.
Furthermore, the data collected by Teal Neural over time can help companies identify trends in machine performance and potential weaknesses in their production systems. This analysis can be used to implement process improvements and maintenance scheduling, as well as to make informed decisions about investments in new machinery or technologies.
Observation of Performance Changes
Subtle variations in machinery performance can be difficult to detect and can accumulate over time, eventually becoming serious problems that affect product quality and productivity.
Teal Neural detects and analyses these small variations that may go unnoticed by the human eye. Thanks to this uninterrupted and detailed monitoring, you can identify any changes, whether it’s a decrease in production efficiency, an increase in cycle time, or a slowly emerging pattern of errors.
This allows production and maintenance teams to take preventive measures to prevent issues from escalating (adjusting operating parameters, scheduling preventive maintenance, reevaluating production processes, and more).
Teal Neural can also help identify optimisation opportunities. By observing trends and patterns in machinery performance, the system suggests changes in production processes that can lead to increased efficiency and product quality, smoother production, less downtime, and improved profitability.
Interruption Management
Unexpected machinery downtime can lead to costly delays, affect production efficiency, and cause disruptions in the supply chain with far-reaching consequences.
Teal Neural is designed to continuously monitor the status of machinery in the production plant. Thanks to its ability to learn the normal operating patterns of each piece of equipment, Teal Neural immediately detects any interruptions in the production process. This is crucial because the sooner an interruption is detected, the faster it can be responded to.
Moreover, Teal Neural issues immediate alerts to maintenance and management personnel. These alerts may include critical information about the nature of the interruption, allowing the team to respond more effectively. Whenever possible, Teal Neural will provide guidance on the steps to correct the problem and resume production.
The data collected by Teal Neural is extremely valuable for long-term planning, as it reveals trends or patterns in interruptions that are essential for the creation of proactive strategies (adjusting maintenance schedules, upgrading equipment, reviewing production procedures, and more).
Lubrication Control
Proper care and maintenance of machinery are essential to ensure optimal and sustained performance over time. One of the most critical aspects of this care is the correct lubrication of the moving parts of machinery, and this is where Teal Neural can play a crucial role.
Teal Neural uses machine learning algorithms to continuously monitor the condition and performance of the moving parts of machinery. A central part of this monitoring is the supervision of lubrication levels. Teal Neural is designed to detect any changes in the effectiveness of lubrication or the grease level in moving parts. By doing so, it can identify any signs of wear or dryness, which are indicative of a need for lubrication.
Teal Neural can also alert maintenance personnel when additional lubrication is needed. These immediate alerts are crucial to prevent excessive wear and unnecessary machinery breakdowns, as they help keep the machines in optimal working condition and prolong the lifespan of their components.
Furthermore, the data that Teal Neural collects about lubrication levels and maintenance needs can be extremely useful for long-term planning and efficiency. By understanding how lubrication needs vary over time and under different working conditions, companies can develop more effective and proactive maintenance programs.
Leak Detection
One of the major challenges that production operations can face is the early detection of leaks. Leaks of oil, liquids, or non-invisible gases can not only decrease operational efficiency but can also pose significant safety risks and result in costly repairs if not detected in a timely manner.
Teal Neural uses advanced machine learning algorithms to continuously monitor the operation of machinery and identify minimal variations in normal patterns that may indicate the beginning of a leak. Once these anomalies are detected in the early stages, Teal Neural alerts maintenance personnel to intervene immediately and prevent more serious damage or production interruptions.
Teal Neural also helps identify the source and cause of the leak. This information is crucial for performing effective repairs and preventing similar situations in the future. By providing detailed data on operating conditions at the time of the leak, Teal Neural can help maintenance teams better understand what caused the leak and how it can be prevented in the future.
Finally, Teal Neural also provides real-time analysis and feedback on the effectiveness of measures taken to address leaks. This feature allows production operations to adapt and improve their maintenance and repair strategies based on real data and results.
Monitoring of Component Performance
The efficiency of machinery in any production process depends on the collective performance of its multiple components. Every piece, no matter how small, plays a vital role in ensuring smooth and efficient operation.
However, due to their interdependence, a problem in a single component can lead to a machine’s overall performance issue. In this context, Teal Neural plays a critical role.
Thanks to its ability to continuously and in real-time monitor each mechanical component, Teal Neural can detect any irregularities in the machine’s performance. This monitoring is done by analysing various performance parameters such as energy consumption, vibration, temperature, and many others. By detecting any deviations from the normal patterns of these parameters, Teal Neural can alert to a possible malfunction of the component.
For example, if a particular component is consuming more energy than it normally should, it could be a sign of a problem, such as excessive wear, lack of lubrication, or even an impending mechanical failure. By receiving an early alert from Teal Neural, operators can perform the necessary repairs or adjustments before the problem worsens and affects the overall machine’s performance.
Monitoring component performance also enables more proactive maintenance of machinery. By knowing the lifespan of each component and how its performance fluctuates over time, you can anticipate when it will be necessary to replace or repair a component before it fails completely. Furthermore, by ensuring that each component operates at its maximum performance, you can maximise the efficiency of the entire machinery, resulting in higher productivity and lower operating costs.
Monitoring of Component Performance
The efficiency of machinery in any production process depends on the collective performance of its multiple components. Every piece, no matter how small, plays a vital role in ensuring smooth and efficient operation.
However, due to their interdependence, a problem in a single component can lead to a machine’s overall performance issue. In this context, Teal Neural plays a critical role.
Thanks to its ability to continuously and in real-time monitor each mechanical component, Teal Neural can detect any irregularities in the machine’s performance. This monitoring is done by analysing various performance parameters such as energy consumption, vibration, temperature, and many others. By detecting any deviations from the normal patterns of these parameters, Teal Neural can alert to a possible malfunction of the component.
For example, if a particular component is consuming more energy than it normally should, it could be a sign of a problem, such as excessive wear, lack of lubrication, or even an impending mechanical failure. By receiving an early alert from Teal Neural, operators can perform the necessary repairs or adjustments before the problem worsens and affects the overall machine’s performance.
Monitoring component performance also enables more proactive maintenance of machinery. By knowing the lifespan of each component and how its performance fluctuates over time, you can anticipate when it will be necessary to replace or repair a component before it fails completely. Furthermore, by ensuring that each component operates at its maximum performance, you can maximise the efficiency of the entire machinery, resulting in higher productivity and lower operating costs.
Unattended Machines
Our advanced comprehension systems play a fundamental role in optimising production processes, ensuring that machines and equipment are not left unattended during operations that require supervision. This constant and precise surveillance not only improves efficiency and prolongs the lifespan of machines but also allows for the early detection of potential production issues.
By identifying and addressing these issues in advance, our systems help prevent costly disruptions and maintain an uninterrupted workflow. This, in turn, promotes a culture of prevention and responsibility in the workplace while enhancing overall productivity.
