How robot monitoring and predictive maintenance can improve the productivity?
 

How robot monitoring and predictive maintenance can improve the productivity?

June 28, 2022by yongubox0

How robot monitoring and predictive maintenance can improve the productivity?

The entire cost of manufacturing includes 60–70% of the total cost of industrial equipment maintenance. If you can forecast and undertake machine maintenance procedures in a minimal amount of time, you’ll be able to successfully diagnose and enhance machine tool availability. Inadequate maintenance practices can affect a plant’s overall productive capacity by 5–20%. In the past, maintenance personnel has used quantitative and qualitative methodologies to foresee possible constraints that limit production plant downtime. It allows companies to optimize maintenance procedures in real-time, improving the usable life of their equipment and preventing disruptions in operation. Recent research has shown that unscheduled downtime is expensive for companies worldwide, to an estimated USD 50 billion annually.Robotics monitoring and predictive maintenance are two types of technologies geared at overcoming difficulties of this nature.

 

Robot Monitoring

To put it in the most straightforward words possible, robotic monitoring allows you to check-in remotely on how well your facilities are doing. Robot monitoring will enable you to gather information on your machine’s operation and measure key performance indicators (KPIs) in real-time. This information may often be accessed via a tablet, laptop, or smartphone. Examples of KPIs include uptime/downtime and cycle time.

Using KPIs, managers may monitor their employees’ performance and production processes in real-time. Modifications to your systems to improve overall performance can be guided by these valuable information resources. Its results are increased production and throughput, more outstanding quality, less downtime, and enhanced business contingency.

Even if your system breaks down for whatever reason, robotic monitoring dynamic capabilities can provide an immediate alert to key personnel in your organization. Robotics monitoring systems can help manufacturers avoid costly downtime by rapidly pinpointing the cause of a problem.

Now, every robotic monitoring system somehow involves electronics components in this advanced technological era. They also require additional safety, so the aluminum enclosures are the best solution, and

YONGUBOX provides the electronics enclosures with IP68 ratings to help increase the safety of the electronics system.

 

Predictive Maintenance

The goal of predictive maintenance solutions is to determine when a robot or any other type of machine used in a particular sector will break down, in contrast to the practice of reactive maintenance, which does not occur until after a breakdown has already taken place.

The difficulty that equipment makers typically face is maintaining their machinery and other assets in adequate functioning condition while simultaneously lowering maintenance expenses and minimizing the number of times repairs take.

It’s becoming increasingly critical to discover the root cause of any potential failure or breakdown in product manufacturing and services before they occur. Technological developments like the Internet of Things, big data analytics, and the cloud are making it more straightforward, quite feasible, and more direct to identify defects in industrial equipment and assembly robots.

To get the most out of their maintenance services, firms must proactively spot potential failures. To accurately forecast failures or defects, it is essential to look at data such as year of manufacture, model name, and warranty information. Information gathered by the latter includes but is not restricted to log entries from millions of machines and sensors, alarms by the systems, tachometer readings, and engine torque and power characteristics.

The information collected from such sources may be transformed into real-time actionable insights by employing modern data analytics. These insights can then be used for proactive maintenance of assets to prevent issues resulting in asset downtime or fatalities, track asset behavior, and adjust assets for optimal performance levels. There are several ways to predict when a piece of functioning equipment will break or depart from its typical behavior. Predictive maintenance is one of them.

Regardless of the several end applications that it supports, a preventive maintenance model always has a relatively consistent design at its core.

  • Incorporating appropriate sensors and operating logs into mechanical and electrical systems is essential.
  • This is the process of transforming raw data into something that can be used by machine learning algorithms.
  • Offering warnings in accordance with asset operating constraints.
  • A diagnostic record is generated using trend analysis if an asset’s health has already begun to decline.
  • Generating failure forecasts and predicting remaining life with machine learning algorithms.
  • Recommendations for the optimal course of action are provided by the decision support system.
  • Ensuring that all data is presented in an understandable manner for the human interface layer.

The classification of different types of failures, the identification of faults, the forecasting of future losses, and the recommendations of appropriate maintenance measures are all components of the predictive maintenance technique.

Customers in the industrial sector are becoming more aware of the rising maintenance costs and downtime caused by the unexpected breakdown of machinery, and maintenance solutions are gaining traction to protect mechanical and electrical systems using the best enclosures, predictive maintenance, and following the machine manufacturer’s provided preventive maintenance schedules and procedures for their machines. The key contenders have employed this strategy for more than a decade. To fully use today’s technology, small and midsize enterprises can reduce their maintenance costs and meet the initial operating expenses of new operations by utilizing a modular approach.

 

On the other hand, preventive maintenance is a step ahead of corrective maintenance in that the maintenance work is planned at predetermined intervals and is meant to decrease the likelihood of failure or the deterioration of an asset’s functionality.

As a further benefit, predictive maintenance applies non-intrusive testing procedures to review and calculate asset performance patterns, reducing unexpected downtime and eliminating the causes of failure. Thermodynamics, acoustics, vibration analysis, and infrared analysis are a few examples of the methodologies that can be applied.

Data generated by industrial assets may now be studied in new ways thanks to advancements in big data, machine-to-machine interface, and cloud technologies. Using sensors, actuators, and other control parameters, it is now possible to do real-time condition monitoring on a device. Rather than merely forecasting potential asset failures, stakeholders want a financially successful analytics and engineering service partner that can work with them to prevent them from happening.

 

YONGUBOX ELECTRONICS SUITED ALUMINIUM CASES

Today, the expansion of the robotics sector owes a sizeable amount of debt to the development of aluminum beginning in the middle of the 20th century and going onward. This debt was incurred because aluminum was used in a substantial quantity of robotics. Aluminum’s strength, durability, lifetime, mobility, and flexibility have allowed the field of robotics to advance to where it is now. Without aluminum’s properties, robotics would not be where it is today.

In addition to being used in numerous robotic components, aluminum is critical in the automated manufacturing process. Aluminum can provide solutions where other materials cannot, such as small, machined components, enormous, mechanized machinery, and even the robots used to manufacture them.

YOUNGUBOX’s aluminum enclosures enable manufacturers and designers to get the most out of the goods and projects they are working on by maximizing their potential.

YONGUBOX 008 CNC Parts

Full customizations, all dimension can be changed, structure can be changed. We can offer you the design services.

 

For further information and customized product of your requirements, follow our Facebook for more details: YONGUBOX.

You can also contact us at +86 13326782625 or write us at salesglobal@yonggu-enclosure.com.

 

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