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Alerting to Damage in Real Time
IET offers a full array of equipment monitoring to help you take a proactive approach to maintaining your equipment. Based on principles of physics, unusual energy disturbances, for example, can be detected by monitoring standard process signals typically measured for equipment.
What is Equipment Condition Monitoring?
Equipment condition monitoring is a process of continuously monitoring the performance and condition of equipment to identify potential problems before they occur. This can include monitoring data such as vibration levels, temperature, and oil analysis. By monitoring these factors, IET’s technology can help detect early signs of equipment wear and tear, and schedule maintenance or repairs before equipment failure occurs. This can prevent unplanned downtime, reduce the need for costly repairs and replacements, and improve the overall safety and efficacy of equipment. Additionally, equipment condition monitoring can also provide insight into the overall efficiency of equipment and identify areas for improvement.
The IET Advantage
IET’s base predictive and proactive service supplements existing reactive condition monitoring which generally triggers late in the damage lifecycle after significant wear and damage has occurred. Since our process detects minute changes in equipment performance indicators, they are detected very early in the lifecycle prior to any significant degradation in equipment condition. The system continuously monitors selected equipment for anomalous changes that indicate the onset of conditions leading to wear, damage, and eventual failure. The data can be streamed or processed in batch. Because the changes of interest are often subtle, it can take multiple hours to fully detect some signals, which is why we continuously monitor data. When an anomaly is detected, our analytics confirm the triggers and characterizes the nature and severity of degradation. IET offers several levels of analysis to reflect both the criticality and complexity of the particular piece of equipment. This allows the service to be cost- effective even for simple, low-cost equipment with hot spares available. Because anomalies frequently begin to occur ahead of any actual failure, our systems are designed to identify such abnormalities to predict or prevent any future issues. We are also able to set up a system that will find and alert to issues in near real-time, allowing your team to plan ahead for potential equipment failure or replacement.
Web App
We have developed a proof-of-concept web application to demonstrate our detection and monitoring capabilities. The web app is built using MATLAB’s App Designer and packaged using MATLAB’s Compiler to create our Anomaly Detector Web App. Users can access our web app via a unique URL directly from their browser with a remote VPN without installing any additional software. IET’s detection and monitoring tools are highly customizable, allowing us to tailor a unique solution for each customer and operationalize our MATLAB algorithms for enterprise location by publishing and consuming a service API. This enables customers to build our technology into their current workflow and apply it to their needs.
Additional Services:
As part of our Equipment condition monitoring, we also offer the following services:
Analysis From Afar
Remote data and systems access provides convenience and efficiency by allowing users secure access from any location with an internet connection. This eliminates the need for users to be physically present to access the necessary information or make changes. Our remote access also allows for real- time collaboration and communication, making it easier for our teams to work together with you and stay on the same page. Additionally, it can also help to reduce costs associated with travel and on-site visits allowing for greater flexibility and convenience, making it easier for users to access the information we provide, whenever and wherever they need it.
We provide remote access for equipment monitoring with personal, client-oriented service and our knowledgeable, contactable team of experts. We are on-site for your specific requirements if needed; if not, let our technology do the work from a distance.
IET occupies a cutting-edge role in industrial efficiency and strategic planning by working with the customer’s readily available instrument data. We offer a free preliminary data analysis for potential clients by using historical data to illustrate our efficiency via our unique remote technology.
Examining History for Failure Prediction
Because IET’s methods are designed to be effective even with slow collection rates or data compression for database archiving, we can perform historical analyses to detect past wear and damage using data you already have. By processing past data, IET can validate or identify past physical damage and failure modes and work to create a predictive model of possible future failures due to equipment damage.
What is Historical Analysis?
Historical data analysis is crucial for equipment condition monitoring as it allows for the identification of patterns and trends in the performance of equipment over time. By collecting and analyzing data from equipment over a past period, including information on equipment performance, maintenance records, and sensor data, patterns and trends can be identified that can provide insight into the current and future state of the equipment. IET uses this information to predict when equipment is likely to fail, allowing for proactive maintenance to be scheduled, rather than relying on reactive measures.
The IET Advantage
Additionally, IET uses historical data to help understand the varying mechanics of the root causes of past equipment failures, which can help to anticipate, or even prevent, similar failures occurring in the future. Oftentimes this analysis reveals past damage events and modes not previously recognized through empirical means. Overall, our specialized historical data analysis allows for more efficient and effective maintenance of equipment, which can help companies make important strategic decisions about the present and future, leading to cost savings, increased equipment reliability, and improved safety.
Preemptive Damage Prevention
Sometimes, the manner in which a system is operated leads to unexpected and undetected damage conditions.
Evaluating the operational efficiency of equipment is beneficial because it allows for the identification of inefficiencies and areas for improvement. This can lead to cost savings by reducing energy consumption, increasing productivity, and reducing downtime. By monitoring the performance of equipment and identifying inefficiencies, companies can make adjustments to optimize the equipment’s performance, and ensure that it is running as efficiently as possible. Additionally, evaluating the operational efficiency of equipment can also help to identify potential problems and prevent equipment failure. This can save money on repairs and replacements, and also helps to maintain the safety of employees and equipment.
At times, process conditions can be causal or contributing factors to accelerated equipment and system deterioration. The anomalies these conditions cause change or disappear as the operating environment fluctuates and often exist as precursors which occur ahead of damage or failure. IET has designed our methods to detect these forerunner signatures and track their variations, allowing us to advise preemptive or mitigating action to be taken to decrease the likelihood of damage and diminish the probability of future failure.
Monitoring & Evaluating Systems
IET’s technology enables us to trace anomalies through a system’s data to pinpoint its origin and determine its cause.
The techniques we have developed operate in part by detecting dispersed energy, the signals of which propagate throughout a connected system. Thus, evaluation of some sensors often reveals anomalies in other equipment. We offer full System Analysis as an optional service used to identify those disseminated indicators and trace them through the interdependent components of a system to determine the original source of these anomalies. Even with sparse time series instrument data, our technology provides ample opportunity to effectively monitor the condition of many closely coupled pieces of equipment. When electrical signals are monitored for example, much of the equipment on the same branch circuits may receive coverage by monitoring just a few instruments. Flowing systems often exhibit similar characteristics. The effectiveness of System Analysis depends on many conditions, so each situation requires review to determine how to best configure analyses. In some cases, the issue may be a part of the larger system (e.g., electrical) rather than the equipment itself.
IET can implement our monitoring and alerting services on any rotating or flow equipment, including but not limited to:
