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Problem to be solved:

Predict the failures in the Hvac system in buildings. Most failures in HVAC systems are caused by faulty bearings or too dirty air filters. In case of bearing the fan RPM is wrong or it fails completely. In case of too dirty filter pressure is lost and the HVAC system can not work right and can cause too high RPM trying to get the right pressure in the system.

Сorresponding consequences for responsible parties:

If HVAC fails in the building it can cause low oxygen levels. Low oxygen levels usually make people less active and make them less productive at work or other activities. Result: Low employee activity can cause losses to the company.
When ventilation is bad bacterias and illnesses spread faster causing a higher number of people to get sick from viruses or bacterias. Result: People getting sick and are not able to work causing losses to the company.

Solution:

BeGo to install the accelerometer to the bearing of the fan to record vibration levels. Gold or Platinum analytic packages can be applied to record the bearing condition 24/7 . In case of some upcoming problems or failures notifications can be sent to the responsible party. More information can be checked thru the dashboard to see what causes the problem and when is the day when the bearing can possibly fail. This approach can ensure that the maintenance will be ordered at the right time guaranteeing that the ventilation system won't stop.
Additionally air pressure, temperature and air quality sensors can be installed for better insights of the air quality of the facilities.

Supported machines:

Airport Facilities, Cranes, Ports, Sewage treatment plants, Power generation, HVAC

Applicable industry:

World economic growth depends on the infrastructure sector. A number of structures are constructed within this sector, including buildings, bridges, power plants, pipelines, and roads. The world of infrastructure and facilities management is plagued by downtime, which is costly and time-consuming. By identifying and predicting potential breakdowns, predictive maintenance ensures that equipment is maintained in a proactive manner.

Problem to be solved:

Integrated mill is used in primary steel production. For example, billet rolling machines are based on the bearings. Since those rollers are used under high pressure and high temperatures the chance of failure is higher and more unexpected.

Сorresponding consequences for responsible parties:

Mill is a very complex solution and if any part fails the whole line stops. Most of the steel factories work 24/7 and it is crucial to provide very precise insights of the roller system. Some of the parts are not available immediately so knowing when the failure happens would help to order parts in advance and choose the best time for maintenance to reduce losses. Rollers are operated under high pressure and temperature. Some failures can cause an explosion or any other possible dangerous situation for employees at the factory.

Solution:

Install accelerometer to rolling parts to ensure that the condition of the bearing is not exceeding normal levels. Analysis can be done with any package up to platinum level(Suggested) depending on the client needs.. Live insights could be accessed through the dashboard and alerts sent to the responsible party.

Supported machines:

Sinter Plants, Oxygen Plant, Coke Ovens, Blast Furnaces, Pellet Plant, SMS Lines, Bar Rod Mills, Wire Rod Mills, Transformers

Applicable industry:

The metals industry is crucial for the economies and development of many countries. Development of the country's infrastructure and economy would not be possible without it. Metal companies have a particularly hard time coping with unplanned downtime. In the event of a steel mill going out of business, the company will lose production of a large amount of metal and money as well. We can prevent unplanned downtime by identifying the faults months in advance.

Problem to be solved:

Most failures happening due to neglected maintenance:
1.Wear liners aren’t replaced in time. This can result in material wearing through the base metal of the crusher itself.
2.Buildup underneath the machine isn’t taken care of Eventually, material may wear down the counterweight guard and then the machine itself will bring down a crusher.
3.Lubricants aren’t changed at the right intervals. This, too, will cause the machine to wear down and eventually fail. Proper lubricant system maintenance is essential.
4.Breathers aren’t cleaned often enough. If breathers get clogged, the crusher will pull in dust and degrade quickly.

Сorresponding consequences for responsible parties:

Periodic maintenance can be replaced with a preventive or predictive maintenance approach. Maintenance team won't need to check all machines as usual and react to alerts according to the insights they get from data. This way maintenance can be more effective and cost less for business owners.

Solution:

Accelerometers can be installed at the moving parts of the mill to provide insights of the crucial elements of the machine like bearings and electrical motors. Vibration data analytics will provide deep insights of the health of the machine and predict when the machine needs the maintenance and what exact parts should be ordered in advance to reduce downtime time.

Supported machines:

Various Rotating Equipment, Milling Machines, Transformers, Heavy Earth Moving Vehicles

Applicable industry:

Mining is among the most important industries in the world. Various commodities are extracted from these mines, such as gold, diamonds, and other minerals. Due to the high costs and risks of production, unplanned downtime in the mining industry is a major challenge. As a result of this problem, the company loses efficiency and profitability. Developing predictive maintenance procedures for mining equipment is a proactive way of preventing equipment breakdowns and increasing mining production efficiency.

Problem to be solved:

Bucket elevators are used to lift powder and other materials vertically up to the mill. Lifting is done using an electrical motor. In most cases new elevators are more reliable and have a long life, but the older the machine gets the higher the risk of unexpected failure. Motors can break because of bearing wearing out, overheating, low lubricants or worn out belts.

Сorresponding consequences for responsible parties:

Cement factories can expect production delays if the elevator breaks and can't deliver cargo to the mill. This causes of course lower production rate and therefore money losses for the company. Clients like construction companies are also expecting delays and have to move further deadlines since cement is not delivered in time. If deadlines for construction are moved then people and clients are forced to wait longer and change their plans.

Solution:

Install vibration and temperature(optional) sensor to the motor to detect any unusual vibration levels and predict the possible failure in advance. Calculate approximate life span of motor and order parts in advance before the failure happens. Avoid big failures by fixing small ones in time. Increase efficiency and cost effectiveness.

Supported machines:

Ball Mills, Roller Presses, Silos, Conveyor Drives, VRMs, Klins, Fan, Crusher, Bucket Elevator, Klinker Blowers, Transformers, Air Filtering Solutions

Applicable industry:

The cement industry is the oldest in the world, dating back over 3,500 years. It is one of the most complex manufacturing businesses with the largest number of processes in the manufacturing chain. The productivity of the manufacturing process is affected by the availability of the plant and machinery. Cement plants suffer from downtime, which can adversely affect performance & productivity. If a plant's equipment goes down, the entire operation must stop, costing the company time and money. Cement plants can use predictive maintenance to forecast equipment failures and initiate timely maintenance to prevent unplanned downtime.

Problem to be solved:

Tubes can get contamination and therefore liquid not passing the tube as it should. Primarily contamination is caused by the bacterias that can grow in tubes. Contamination of the tube causes higher pressure in the system, loss of effectiveness and higher vibration. Any failure in the Oil and gas sector can cause very high losses for the plant. Usually maintenance is very expensive in this business and can take a lot of time to fix.

Сorresponding consequences for responsible parties:

If the heat exchanger fails the whole production line will stop till they can fix it or completely replace it. This heat exchanger is very expensive and replacement causes losses for business owners. If it breaks unexpectedly then there is no guarantee that the part supplier can supply it in time, making the plant to order a heat exchanger from another untrusted supplier with possibly higher price.

Solution:

Install multiple vibration sensors to different points of surface of the heat exchanger. Measure constant vibration levels, make vibration data correlation between different points of it. Based on the collected data and analysis( Platinum suggested) detect when the contamination level exceeds normal level and provide maintenance work as planned in the right time.

Supported machines:

Heat exchangers, Evaporators, Air Coolers, Pressure and Temperature control

Applicable industry:

Maintaining assets in every industry comes with its own set of challenges. These challenges differ to some degree for oil and gas assets. As an extremely capital-intensive and high-risk industry, the oil and gas industry needs to make the most of all available resources as long as possible. Companies need to know how to prevent downtime to avoid risking operational costs and be able to keep production running. A recent report found that predictive maintenance can lead to a 50% decrease in the amount of unscheduled maintenance.

Problem to be solved:

Issues that can lead to pump failure include overheating and excess system pressure. If condensation buildup persists within the machine, the effects of the moisture can be detrimental to the airend. The impact of vibrations and the effects of oily residue can also wear down on the screw component.

Сorresponding consequences for responsible parties:

As usual any failure of the pump can bring the company high maintenance costs. Many failures can be avoided if maintained in the right time and predicting failure is always more cost effective than fixing it when it happens. At the chemical plant safety is a very important factor. Making sure that all machines are working safely is very crucial for workers since they are dealing with very dangerous chemicals. Overheating, high pressure can cause leaking or even explosion.

Solution:

Installing vibration, pressure and temp sensor to the pump. By monitoring and analysing those core indicators our solution can predict the wear level of the pump parts and make sure the lifespan of the pump is prolonged. Alerts can be sent to the responsible party when levels exceed maximum.

Suppoerted machines:

Heat exchangers, Pumps, Compressors, Gas Turbines, Pressure and Temperature control

Applicable industry:

Chemical plants can experience unplanned downtime, which can have a significant impact on reliability. Having unplanned downtime in a chemical plant can lead to serious financial consequences and interrupt production. Furthermore, unplanned downtime may result in regulatory non-compliance and even shut down of plants. Keeping production running in the face of constant maintenance is one of the biggest challenges in the chemical industry. It is important to be proactive, rather than reactive, and to identify wear and tear prior to it having a significant impact on the plant. It's for this reason that predictive maintenance is a key tool for increasing production uptime and reducing unscheduled downtime.

Problem to be solved:

1.If the air filter is dirty, impurities and particulates could corrupt the compressed air and degrade the quality of end-point applications.
2.Rust could form on the bearings without proper lubrication. If rust forms, the bearings will gradually slow and ultimately become stuck in place. When this happens, the motor fails.
3.Over time the rubber on a belt will inevitably wear down and crack in certain places. Therefore, it is crucial to replace the belts before they lose their tension or, even worse, snap in the middle of an operation.

Сorresponding consequences for responsible parties:

If the maintenance is performed at the right time, the company can avoid the risk of high maintenance costs. An air compressor facility knows, downtime can be a very costly problem because when the machines fail to function, it halts production.
If the compressor is not working properly it is less effective and consumes more energy. Good working compressor saves the company on electricity bills and is more environmentally friendly for our planet.

Solution:

Install accelerometer to bearings and monitor its condition during production time. Depending on the client needs to use a silver to platinum analytic package to give insights to the maintenance party for better effectiveness, saving costs and increasing production time. Live data can be accessed in the dashboard including additional information about the machine.

Supported machines:

AHUs Compressors Chillers Packaging Units

Applicable industry:

The pharma industry is one of the most heavily regulated industries. In addition, it is one of the most demanding industries. In the case of a malfunctioning piece of machinery, that malfunction can have a devastating effect on a company's ability to produce and, therefore, generate revenue. To do this, a system has to be set up that can predict when an asset will fail. For pharma manufacturers, predictive maintenance is a powerful tool for minimizing downtime and maximizing output.

Problem to be solved:

Сorresponding consequences for responsible parties:

Solution:

Vibration measurement tools are ineffective when it comes to slowly rotating equipment like lime kilns, hydraulic drives, and wash press bearings. BeGo uses piezo sensor….

Supported machines:

Compressors, Pulp Mills, Motors, Fans, Pumps

Applicable industry:

For many years, pulp and paper manufacturers have faced pressure to reduce costs and energy consumption, increase production, and reduce the impact on the environment. Intense competition worldwide, volatile raw material costs, and rising energy prices are putting pressure on profitability. The cost of maintenance, in particular inspection and maintenance, is a major area of cost. As mills become more complex, these costs will increase, and unplanned downtime will be more likely than ever before. Despite maintenance planners and engineers' best efforts, it is extraordinarily difficult to predict exactly when equipment will fail. Using predictive maintenance in the pulp and paper industry is an innovative way of addressing this problem.

Problem to be solved

Problem in predicting the need for door parts replacement or maintenance. Every opening mechanism in the tram such as the door or window tends to open/close a specific amount of times, according to the supplier datasheet. After the specific amount of openings the door should be either maintained or parts should be replaced.

Сorresponding consequences for responsible parties:

City commuting organization - Unoperational mechanical parts such as doors/windows lead to the specific tram with such a problem to be held out of the line. Such an issue leads to potential disturbances in the line schedules, which therefore lead to city congestion.
Supplier - For the supplier such problem might mean a late, unplanned order, which therefore leads to a less controllable production and manufacturing.
Tram maintenance company - Such problem leads to unscheduled maintenance routines, delays in delivery.

Solution:

BeGo to install the accelerometer sensor on each mechanical part such as door/window with the "silver" analytics package to be able to count the specific amount of openings of every component. Such a counter allows setting a threshold which can then trigger the alerts in case threshold will be reached soon. With the dashboard capability every user in the system will see the location of the machine, its current analysis status, condition of the specific part. Every dashboard user will stay notified of the part condition, staying always informed whether action has to be performed.

Applied Industry overview:

Among the fastest-growing industries in the world is the mobility sector. However, it has been struggling to keep its momentum. This is due to a number of factors, but one of them is the inability to plan for the inevitable downtime. Unplanned downtime can be costly in the mobility sector as vehicles become more fuel efficient and autonomous. By reducing costs and increasing maintenance quality, predictive maintenance solutions are expected to make a huge impact on the new mobility sector.

Machines that is possible to cover with the same bundle:

Railways, Electric Vehicles, Trucks, Earth Moving Equipment