SparkCognition: Identifying Vane Failure From Combustion Turbine Data
In late 2015, a deployed combustion turbine experienced a row two vane failure, which caused massive secondary damage to the compressor, resulting in nearly two months of downtime and up to $30M in repairs costs and lost opportunity. This failure, though rare, is representative of typical catastrophic events that are very difficult to catch. Though the onsite plant operations team had been monitoring the asset, this specific failure mode was previously unknown and very nuanced, and existing alarms did not have enough information for SMEs to properly diagnose it in time.The OEM decided to evaluate SparkCognition’s predictive analytics solution, SparkPredict®, with the following objectives:1. Demonstrate the ability to detect and distinguish operational and anomalous online steady-state conditions based on blind data provided from the turbine.2. Provide additional insights about the key contributing factors to the underlying anomalies.3. Provide a UI that interfaces to live streaming data from the asset.
Nanoprecise Sci Corp: Automatic monitoring of acoustic emission saves catastrophic failure
Traditional measurement tools are ineffective when it comes to slowly rotating equipment. There are faults like Bearing Failure, Ring Plugging, Gear Tooth Crack and many more which can lead to the shutdown of machines. 1 minute of downtime cost the company $10. RingPluggingis a very common issue which Pinnacle Pellet was facing very frequently due to diverse feed quality into the machines. Product ring plugging can be detected as sound levels increase in specific roller bearings.
Luxoft: Predictive Maintenance For Connected Vehicles
By 2025, Transport for London will have to meet strict emission-control regulations. This means buying and operating new fleets of hybrid or fully electric, zero-emission buses. As a consequence, many Original Equipment Manufacturers (OEMs) and operators will have to develop new technologies to help them get-to-market fast enough to meet demand.
General Electric: The Convergence of Predictive and Preventative Maintenance for Mill Reliability
Gerdau was looking to reduce their annual maintenance spend while also improving productivity, thus targeting margin improvements within their manufacturing operations. 
Hitachi: Predictive maintenance of medical devices based on years of experience and advan
Failure prediction by human operators requires advanced skills, and the limited number of experts cannot monitor all MRI systems around the world. "Corrective maintenance" for repairs after breakdowns has also become inevitable.
Opentrends: Sentilo Terrassa (Smart City Open Data)
Terrassa City was in need to ameliorate their information and communication flow between municipal managers, in order to generate new services to its citizens. The City Council was missing an internal management platform of the municipal services, and wanted to initiate a Smart City strategy to solve this issue, along with bringing value to all parties involved (municipality, businesses, citizens and other local entities). 
General Electric: Vale Fertilizantes Saves $1.4M in Production Losses with Predix Asset Performanc
Reducing production lossesIn 2013, the company identified a need in the maintenance and operation of its acid nitric plant to reduce production losses and improve annual production. Vale noticed there was a gap in nitric acid production from 2011 to 2012 and discovered that three pieces of equipment were responsible for the main losses, including two weak acid condensers and a compressor discharge air cooler. The condenser’s losses were due to thickness loss, lack of availability of the spare condenser, and shell cracking.With a production loss above 14,000 tons in 15 months, Vale aimed to reduce annual loss by 10,000 tons by August 2015. 
MathWorks: Mondi Implements Statistics-Based Health Monitoring and Predictive Maintenance
The extrusion and other machines at Mondi’s plant are large and complex, measuring up to 50 meters long and 15 meters high. Each machine is controlled by up to five programmable logic controllers (PLCs), which log temperature, pressure, velocity, and other performance parameters from the machine’s sensors. Each machine records 300–400 parameter values every minute, generating 7 gigabytes of data daily.Mondi faced several challenges in using this data for predictive maintenance. First, the plant personnel had limited experience with statistical analysis and machine learning. They needed to evaluate a variety of machine learning approaches to identify which produced the most accurate results for their data. They also needed to develop an application that presented the results clearly and immediately to machine operators. Lastly, they needed to package this application for continuous use in a production environment.
IBM: Automotive manufacturer increases productivity for cylinder-head production by 2
Daimler AG was looking for a way to maximize the number of flawlessly produced cylinder-heads at its Stuttgart factory by making targeted process adjustments. The company also wanted to increase productivity and shorten the ramp-up phase of its complex manufacturing process.
Capital Numbers Infotech Pvt Ltd.: CN Helped Pine Printshop with a Responsive and Top-notch E-commerce Portal
To digitally expand their business, Pine Printshop was looking for a catalog-based site that would help people buy ready-made products (e.g. apparels, board pins, stickers, etc.) and even allow customers to personalize their own t-shirts, caps, and hoodies.
Fiix Software: How a major player in the oil & gas industry decreased downtime
Sean Simon is the SVP of Operations at CIG Logistics, where sand is transloaded and stored for third parties in the oil and gas industry. Before looking into CMMS solutions, his team spent three years trying to manage their maintenance operations with a paper-based system, leaving them with the major issue of not being able to gather or access data. “There’s no way to mine paper. There was no daily summary, no way of tying together comments or keywords.” As a result, trying to track and schedule preventive maintenance was nearly impossible. “It was like owning a car in the 1950s. You had to try to remember the last time you did something and guess at the maintenance that needed to be done in the future”.
IBM: Driving peak performance with comprehensive support coverage from IBM
With more than 11,000 employees at 94 locations across India, leading commercial vehicle manufacturer VECV needs seamless, responsive technical support to ensure high-availability IT operations. The company sought services from a trusted IT provider capable of simplifying coverage for its multi-vendor environment, accelerating issue resolution for end-users and structuring an effective governance framework for vendor management.
: Temperature and humidity monitoring solution
Nanoprecise Sci Corp: Detecting Cavitation And High Vane Pass Frequency For Pumps
The Condensate Cooling Water (CCW) pump, one of the critical pumps in maintaining steadystate operations, is a horizontal vane pump operating at up to 1650 m3/hr with a discharge pressure of 9 MPa (62 psi) at 986 rpm. Each day this pump is offline costs the plant $250,000 in lost revenue and each failure costs tens of thousands of dollars to execute an unplanned repair. Thus, Larsen & Toubro (L&T) really needed a predictive maintenance solution to detect faults at an early stage and provide a reliable prediction of Remaining Useful Life (RUL)
METTLER TOLEDO: Condition Based Maintenance - “Indispensable” Sensor Technology
At the corporation’s Mizushima plant near Okayama, pH measurement during the neutralization of strong acids is closely monitored. For this important measurement Tsutomu Ishikawa and Naoto Ogura, engineers at the plant’s Instrumentation and Engineering Department were not satisfied with the performance of the pH sensors they were using.For this reason, sensors were regularly exchanged at the plant to minimize the chance of failure in the process. But the operation cost was high and Mr. Ishikawa and Mr. Ogura needed a better solution. Specifically, they required to know in advance when a pH sensor would need to be cleaned, calibrated or replaced: “We wanted to grasp how deposits forming on the pH sensors would affect the timing of sensor maintenance and exchange.”
Fiix Software: Anaren Microwave Implements their manufacturing CMMS
Like many organizations, Anaren had a homegrown work order application that had basic asset management functionality. “It was menu driven, so quite cumbersome,” explained Bill, “reporting was limited and it still relied heavily on paper transactions and records. We looked at our business needs going forward and decided this was one area that could be modernized.” On launching the Manufacturing CMMS project, Bill, the business analyst of the company identified three major areas for improvement:1. Improve efficiency by eliminating paper.2. Improve the control of preventive maintenance. 3. Improve inventory management.
IBM: Minimizing downtime by engaging IBM Services – Technology Support
Simplifying maintenanceHana Financial Group had recently consolidated the infrastructure and resources of 11 of its affiliates at a local IBM data centre. However, the business was left with more than 100 service and maintenance contracts that needed to be reviewed and renewed periodically. These contracts also involved 100 separate bills that Hana Financial Group had to manage. Managing such a large volume of bills was cumbersome and sometimes resulted in late payments. The group wanted to improve efficiency and eliminate the overhead involved with managing these contracts by consolidating its heterogeneous IT systems and data storage systems under more consistent processes.
: 4G Power Status Monitoring Alarm Used in Chicken Farm
Infinite Uptime: Wireless Condition Monitoring Predicts Failure Of Calendar Roll Gearbox
The calendar machine run by a motor has a shaft mounted gearbox connected to the roller. This gearbox allows maximum paper load and feeds the paper with reduced speed to the roller. In spite of scheduled preventive maintenance, it was observed that gearbox used to fail frequently. The rise in vibrations leading to the eventual failure of gearbox adversely affected the quality of the paper. Monitoring the gearbox was thus vital and critical.
: Gas Pipeline Improves Station Efficiency and Drives Revenue with DataRPM
In the capital-intensive oil and gas industry, businesses rely heavily on expensive assets that are deployed in harsh environmental conditions. From a drilling point in the sea to an intermediate station in the desert, the dynamic environmental conditions at each point along the long line affect the performance of the assets deployed along the line. The systems that are used to support these mission-critical assets must also be highly reliable, responsive and secure.One company that operated a long-distance gas pipeline encountered numerous challenges with the overall efficiency of its pipeline, ranging from sub-optimal usage to wastage of natural resources. Even with the optimal equipment and setup, the wide array of variables in operating conditions combined with the sheer distance covered by the pipeline made running the business difficult.In this case, there were 22 injection stations along the length of the pipeline, operating under very disparate conditions with different efficiencies. This made it difficult to identify the interdependent effectiveness of these injection stations, despite having a large data set on various parameters at each injection substation. Even a single instance of failure could cost the company hundreds of thousands of dollars in lost revenue as well as any additional costs for repairs that had to be made.The company was spending $5 million per mile of pipeline annually in corrective maintenance. Along with this, the loss of revenue due to the undelivered material was estimated at $250 million. With energy prices dropping, the loss in revenue directly reduced the bottom line of the company. With the clock ticking and revenue dipping, building a perfect efficiency improvement model became a top priority.
Petasense: Wireless Predictive Maintenance to Fix a Dated Walk-Around Program
C&W Services was using a manual condition monitoring program at one of its leading life sciences’ client up until last year. At best, data was collected manually every 30 days, even on the most critical machines, using a handheld data logger. After the data collection, all of the data analysis had to be outsourced to a third party for analysis. This approach has several limitations:1. Unplanned Downtime2. Shortage of Manpower3. Safety and Access to Machines4. Inconsistent Readings Collected by Manual Processes
Infinite Uptime: USD 1.2 Million Saved On A Forging Press Line By Predicting Cutter Life
The major press line in the company has a circular saw machine which cuts metal rods with precision in predefined lengths for further heating in the furnace. The cut pieces are then fed to the forging line to make automotive components. The length and perpendicularity of the cut pieces are crucial to obtain a good quality forging.It was observed that circular saw failed to maintain the precise length and perpendicularity while cutting the metal rods leading to heavy rejections. This was a serious concern and routine preventive maintenance was unable to overcome it.
Luxoft: Saving millions by avoiding expensive downtime for hydraulic fracturing equipmen
To extract shale oil and gas, specialized equipment is used to fracture rock via a process called hydraulic fracturing (or “fracking”). To do this efficiently, users must know when their equipment needs maintenance. If the equipment stops working while in the well, millions of dollars are lost due to downtime and logistics. Additionally, our client, a major oilfield equipment company, needed a way to make their product stand out. They wanted to accomplish this by providing oil and gas software solutions but had no idea on how to develop and deliver software in the cloud.
: test 20180320
Endian: Endian Technology Helps to Support Hera Group to Provide Utilities & Services
Hera is now among the nation’s largest multi-utilities, born in 2002 out of the aggregation of 11 municipal companies operating in Emilia-Romagna, Italy. The first corporation of its kind nationwide, Hera worsks mainly in the environment (waste management), water (aquaduct, sewage and purification) and energy (electricity, gas distribution and sales, energy services) sectors. Other services offered include public lighting and telecommunications. Its range of activities undergoes continuous and constant development, and meet the needs of 4.4 million citizens in over 350 municipalities in Emilia-Romagna, Friuli-Venezia Giulia, Marche, Tuscany and Veneto. Right at the technological heart of HERA is HERAtech, the company that manages the work requested by customers for all network services managed by the Hera Group and also handles the design and construction of plants and networks in addition to highly specialised technical activities, such as plant remote control, the technical call centre that manages Emergency Services and the Analysis Laboratories for drinking water, wastewater and waste.The project by Endian for Hera is developed in cooperation with the Fluids Remote Control Division and its main goals are to fully manage the suppliers’ access to plants and devices, and to punctually monitor the network distributed over the regions covered by the service. Control activity takes action in multiple data centers, the places where all critical infrastructure is housed, and it’s all about authorizing access to suppliers and scanning all connections to detect any possible unauthorized devices or intrusions. 
Endian: Moving Quickly into the Digital Age
J.A. Becker & Söhne is a medium-sized German company, that always prioritizes quality and safety. In their old model, a technician travels regularly to the customer’s location to service the compressors. For the international customers, trained service partners assume this regular maintenance role. In case of an issue between the service visits, there is a service hotline at the customers disposal, that is able to solve most of the failures. In cases where the hotline cannot solve the problem remotely, a service technician is sent to the customer. With customers all over the world (including China), this support option is quite time-consuming and very expensive. 
Infinite Uptime: Smart Ccondition Monitoring Saves USD 30 Thousand In A Forging Unit
The 1000 Ton main forging press had a 75 HP motor and fed a trimming machine. The motor pulley combination was situated on top of the Press at a height of about 15 feet thereby reducing its access for routine maintenance. The company found difficulty ensuring constant uptime of the Press.
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