The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.

One of the largest petroleum refineries in the world is equipped to refine various types of crude oil and manufacture various grades of fuel from motor gasoline to Aviation Turbine Fuel. Due to wear and tear, eight hydrogen valves in each refinery were leaking, and each cost $1800 per ton of hydrogen vented. The plant also had leakage on nearly 30 flare control hydrocarbon valves. The refinery wanted a continuous, online monitoring system that could catch leaks early, minimize hydrogen and hydrocarbon production losses, and improve safety for maintenance.

As concerns over global warming continue to grow, green technologies are becoming increasingly popular. Wind turbine companies provide an excellent alternative to burning fossil fuels by harnessing kinetic energy from the wind and converting it into electricity. A typical wind farm may include over 80 wind turbines so efficient and reliable networks to manage and control these installations are imperative. Each wind turbine includes a generator and a variety of serial components such as a water cooler, high voltage transformer, ultrasonic wind sensors, yaw gear, blade bearing, pitch cylinder, and hub controller. All of these components are controlled by a PLC and communicate with the ground host. Due to the total integration of these devices into an Ethernet network, one of our customers in the wind turbine industry needed a serial-to-Ethernet solution that can operate reliably for years without interruption.

Printing International is building pad printing machinery to print on all kinds of plastics, glass, ceramics, porcelain, on caps and closures, medical devices and pharmaceuticals. 4 Key Project Requirements: • Transparency on machine performance • Worldwide service network • Remote support, contractual availability • IT security

Embedded Energy Technology (EET) wanted to build a dashboard for their customers to visualize the data analytics for the stream systems. They wanted the readings collected from the sensors to provide a complete picture of what is happening inside the component, and are displayed in a Web Portal that analyzes and presents the data in a concise format. The dashboard interface will also let customers set up email and text message alerts to be triggered when temperatures of the sensors customer select fall outside of the range they set. Summary reports are emailed monthly that highlight total energy savings, component health and month-over-month / year-over-year comparisons.

With a very broad range of applications, steel is an important material and has been developed into the most extensive alloy in the engineering world. Since delivering high quality is absolutely crucial for steel plants, ensuring maximum productivity and the best quality production are the keys to competitiveness in the steel industry. Additionally, working conditions in steel factories are not suitable for workers to stay in for long periods of time, so manufactures usually adopt various machines to complete the steel production processes. However, the precision of these machines is often overestimated and the lack of flexibility also makes supervisors unable to adjust operating procedures. A renowned steel factory in Asia planned to improve its Distributed Control System (DCS) of furnaces as well as addressing the problem of insufficient accuracy. However, most well-known international equipment suppliers can not provide a satisfactory solution and local maintenance because the project needed new technologies to more accurately control equipment operations. By implementing Advantech’s automated monitoring and control solution, steel factories can not only improve the manufacturing processes but can also allow users to add additional functions to the existing system so as to make sure the operation runs at high efficiency.

Hollingsworth and Vose wanted to improve the efficiency of their compressed air system, lower the electricity expense component of manufacturing cost in their commodity industry, and conserve energy leading to lowered greenhouse gas emissions. Compressed air systems degrade over time and become leaky and inefficient. Hollingsworth and Vose wanted to increase the frequency of system inspections without paying the high cost of manual labor.

A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.

China Steel Corporation (CSC) is the largest integrated steel maker in Taiwan. Our goal is to enhance facility maintenance and management efficiency. First and foremost, to achieve this goal we know we need to understand the tradeoffs between the set-up costs of machine condition monitoring (MCM) devices and the losses we experience due to unexpected faults. We also need to consider the critical pieces of equipment we own and the degree of difficulty involved in maintaining them. Effective MCM can help maintenance managers understand the condition of critical equipment in real time, which is a competitive advantage for steel manufacturers.Our first self-developed facility online monitoring and diagnosis system (FOMOS) was installed on the CSC production line in 1998. The system performed well for monitoring certain issues such as mill vibrations, but after a few years the system became less reliable. We found that the hardware and software had limited functionality. We knew we could build a smarter, more connected system that could use the latest advances in processing power, wireless networks, and software connectivity. We realized that it was fairly easy to develop an MCM system, but it was difficult to address specific challenges we faced.Our biggest challenge to address was how to detect equipment abnormalities at an early stage without creating a large number of false alarms. Since vibration is a relative condition indicator and strongly affected by system or structural dynamic rigidity and transmissibility, in real situations, it is common to find that two pieces of the same equipment at similar locations and operating conditions exhibit different vibration levels after several years of operation. Vibration signals can be a key indicator for information such as wear, imbalance, misalignment, impact load, and bearing fault by using different signal processing and algorithms.A conventional monitoring and diagnosis system uses the same or very few indicators and criteria to monitor and diagnose various machine conditions regardless of the nature of the operation of the machine. Therefore, these systems are prone to false alarms or missing alarms. To make it worse, with diverse monitored equipment, a complicated operation regime, and widespread applications in numerous process lines in an integrated steel factory, it is impractical to achieve our goals with only a few diagnosis experts. Thus, we discovered the best way to improve the effectiveness and efficiency of our MCM system was to introduce some artificial intelligence methods.

Coca-Cola Refreshments owns and manages Coca-Cola branded refrigerators in retail establishments. Legacy systems were used to locate equipment information by logging onto multiple servers which took up to 8 hours to update information on 30-40 units. The company had no overall visibility into equipment status or maintenance history.

Manufacturers rightly focus on improving profit margins and growing revenue. Attracting new customers, selling more products and lean practices can help. However, as equipment sophistication increases, so does the ability to monitor equipment. Manufacturers can now develop revenue from maintenance services. Preventive maintenance has its advantages but to really drive uptime and maintain service levels, predictive maintenance is needed. Seamless IoT and machine sensor data integration is critical as well as a low-latency messaging backbone for scalable, fast and reliable transport. Delivering potentially large quantities of data at sub-second speeds is key to downstream activities. webMethods Integration, featuring Universal Messaging, addresses this need with an enterprise-grade service bus for connectivity, messaging, transformation and security of machine data for advanced real-time analytics.

American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.

Oseco were completely new to Industry 4.0, Oseco needed to find a lean and quick method for successfully implementing condition monitoring.

Fastenal's objective was to better understand their machine downtime, utilization, quality issues, and to embrace cutting-edge manufacturing technology/process improvement capabilities to bring their team to the next level. However, there was a lack of real-time data, visualization, and actionable insights made this transition impossible.

“Well before it went live, we had worked out a clear plan for exactly how we were going to use the new versiondog versioning and data management software from AUVESY,” says Michael Mrugalla, who works in process automation at the Mainz plant. “We also had to think about what backups really meant for us. With all our field devices, control programs, drive systems, programming languages, file formats and software applications, we needed to know precisely what we have to back up in case a breakdown (e.g. a power outage) stops production. Because the whole point of making a backup is to be able to recover data quickly and easily when something goes wrong and continue working as if nothing had happened. But that means more than simply restarting production, it also means we need to be able to pick up where we left off with our ongoing process maintenance and optimisation.” It was particularly important to Nestlé that their backup strategy be built around a sin-gle continually active and universally appli-cable solution. And they wanted it to maintain a centralised backup of all the data necessary for both recovery and further development for all devices and all related projects (i.e. every piece of hardware and software). And the programs actually running on controllers need to correspond precisely with the data on the server. If not, the reason must be easily identifiable and the valid version always available to be reloaded onto the device.

As technology advances, textile manufacturing has been transformed from a labor-intensive to a partially or fully automated industry. Automation is significant in all segments of textile production - from spinning to printing, and textile machinery manufacturers are constantly searching for new technologies and automation processes will increase the productivity of their machines. The color paste mixing and dispensing machine is an essential part of the printing and dyeing process. With the advantage of automatically computerized controls and database management, the system can significantly improve its dispensing precision, working efficiency and production quality as well as reducing material consumption.

Without the aid of computers, calculating production volume in a tobacco plant is troublesome and error-prone. PC-based monitoring systems that automatically collect production data and keep records can greatly improve in-factory logistics management and machinery maintenance. Combined with the use of networking communications, a Manufacture Executive System (MES) can be developed to improve the overall management of the factory. Our customer is a branded tobacco producer in China. When they came to Advantech, their production lines were already automated with the deployment of Programmable Logic Controllers (PLCs). However, they were still dependent on manual labor to count the amount of cigarettes and other materials, and their engineers had to manually check and record the data-logs stored in the PLCs to produce analyses for repair and maintenance purposes. But with Advantech’s PC-based monitoring machines, installed next to manufacturing machines, related data is shown on touch screens and transmitted to the control center, helping to reduce errors and improve management efficiency.

The current state of condition monitoring requires manual measurements that are compounded with aging equipment and the retirement of knowledgeable personnel.

A distribution center used a conveyor belt systems to transport a wide variety of products to appropriate locations. When all went well, products were delivered, stored and shipped back out with a minimum of trouble. But a breakdown in any of the motors running the conveyor belts could interfere with operations and cause unacceptable shipping delays. The distribution center decided to use remote monitoring and decision analytics to predict where and when, preventative maintenance could keep small problems from ballooning into major disruptions.

Kaunas Energija's Heat and Power Plants were distributed across the country, including in places lacking an internet connection. This made supervision and maintenance difficult and expensive.

Gary Bruner, the president of Carolina Precision Manufacturing, a contract manufacturer that specializes in small-diameter, close-tolerance CNC Swiss turned parts, had a problem. Over breakfast that morning, Gary had logged onto the MachineMetrics monitoring system on his laptop at home to check the status of his machines assigned to a lights-out operation, but saw immediately that two of his machines were not in production. “What’s wrong with machines 35 and 36?” he thought to himself. Upon arrival to the shop, Gary learned from his operator on duty that this type of hold up was nothing out of the ordinary, and was in fact a product of inefficient startup procedures that had simply never been analyzed or augmented previously. In an industry with razor thin margins, Gary understood that the keys to growth and success were in efficiency and quality. He understood the importance of keeping tabs on production stats, job status, uptime, and setup. However, there was no way to know how well machines were doing in real time. What was causing this additional downtime? Furthermore, CPM’s current methods of measurement and data collection were not only time consuming, but had quickly becoming outdated. Historically, CPM had an employee dedicated to the collection of utilization data. This employee would walk around to each of the machines, collect scrap tickets post-production, talk to operators, and record yesterday’s data into their current ERP system; not to mention that this manual data collection was prone to errors, and would take upwards of 2 hours per day. Without the ability to visualize their results, the recorded data was not very actionable.

The refining company needed to continuously monitor the pressure in Z-Purge junction boxes around the refinery. These junction boxes were maintained at a low positive pressure to prevent process gasses from entering the junction boxes. These junction boxes are widely distributed throughout the plant. Previously these junction boxes were manually monitored by operators on periodic rounds in the refinery.

To develop a reservoir pressure maintenance automation system to remotely control, monitor, and protect devices in pumping station.

Parker wanted the ability to apply a common cloud-based remote monitoring platform across many applications. Compressed air can be expensive and inefficient, so Parker’s innovative Transair piping system was chosen as the initial host product. Parker had a unique chance to create a solution that would help facility managers understand their compressed air systems’ key performance so that they could efficiently manage and optimize this critical system.

Electronic equipments on the field of Afghanistan provided information on the status of the vehicle and to identify potential threats surrounding it to the British Force. The monitoring and interpretation of this data requires robust and sophisticated digitization for data capture and communication.

Tecnalia is experienced in the automotive sector and in the development of controllers embedded in powertrain ECUs. Implementing three models that emulate the unavailable functioning and communications electronic control units (ECUs) for an electric/hybrid vehicle propulsion system.

The Spanish Government has launched a CO2 Capture and Storage Program in Hontoman with the aim of developing this technology. This programme's approach is based on the fact that CO2 capture and storage could be an essential part of the solution to achieve substantial global CO2 emission reductions.

As a power supplier, Enerwhere needed to make sure that their equipment is operational 24/7 and that power can be supplied at all times. Enerwhere needed to know how to do continual maintenance and know how much power is consumed by each customer.

In the framework of its predictive maintenance offering, ONEPROD part of the ACOEM group provides monitoring solutions that allow to avoid unexpected breakdowns in industrial production tools. Traditionally ONEPROD was using wired data acquisition systems. However they were costly and hard to install in harsh environments or explosive zones, like in the oil & gas and mining industry. To cover the distance to connect and power the monitoring equipment considerable lengths of cable are required especially in industrial spaces with difficult access. Developing a wireless data acquisition system became a key success factor in the ONEPROD strategy in order to avoid any cabling issue and to improve the safety of the staff in charge of portable measures.

Paint and coatings specialist Brillux is a manufacturer of painting products in central Europe. The company's warehouse and distribution operations include a fully automated conveyor system controlled by Siemens SIMATIC automated process controllers and a traditional MLOG SCADA system to reduce downtime.