How does Condition Monitoring work?
Condition Monitoring works in the following three steps:

Installation

Establishing a Baseline

Condition monitoring (CM) is the process of monitoring a particular condition in machinery, to identify changes that could indicate a developing fault. It is a major part of predictive maintenance as implementing condition monitoring allows for maintenance to be scheduled and preventive actions taken to prevent further failure and subsequent unplanned downtime.
Condition monitoring is a systematic set of processes and technologies that assesses, and monitors the condition of industrial machinery for a given time-period or environment. This is typically done through physical means, such as vibration monitoring, inert gas monitoring, or thermal. The use of these technologies can make a huge impact in maintaining industrial machinery. It improves worker safety and reduces the chances of collateral damage to the system. Traditionally, vibration analysis was the preferred means of condition monitoring, however, nowadays, modern, innovative techniques such as sensors and sophisticated softwares are being used to monitor the condition of the machines in real-time. The unique advantage of condition monitoring is that it addresses the conditions of the equipment that would shorten its lifespan, long before they develop into catastrophic failure.
Remote Condition Monitoring is utilized for the real-time monitoring of a machine or plant. The system generally consists of condition monitoring sensors that are installed on the machines, which capture the data and send it to softwares installed either on-premise or on the cloud, where the data is analysed. The system captures the data, processes and notifies the maintenance teams when the pre-set limits (benchmarks) are exceeded.
Condition monitoring sensors measure how a machine operates and inform the system how the machine is performing. These sensors are used to detect wear, overheating, vibrations or noise; This information is then interpreted and delivered to the main system. These sensors are usually installed at the system level and data processing and visualisation takes place in the main monitoring room. The specific sensor readings are taken and are used to produce real-time displays of the condition of the machine. These displays are important to identify potential problems and prevent downtime, with automated detection and response. These sensors help prevent or reduce failures, through early detection of anomalies or faults.
Our IoT driven Predictive maintenance solution helps to reduce downtime, monitor, collect exchange and analyze data from machines to enhance manufacturing processes of the metal industry.
Our solutions can add immense value to your entire mining supply chain by harnessing the power of Industry 4.0. The asset performance will be optimized, costs and machine downtime can be reduced leading to a boost in ROI.
Our Industry 4.0 digital solutions can help you tackle the challenges in cement production such as large energy consumption, high costs and complex processes.
Our advanced analytics can simplify complexities and help in real-time decisionmaking. Equipment lifespan and reliability will amplify due to our condition monitoring system.
Our digitization solutions in industrial equipment maintenance can help oil and gas companies streamline maintenance. Our predictive analytics and conditional data monitoring help anticipate failures, reducing unplanned maintenance and unscheduled downtime.
Our AI driven analytics can propel your chemical business to new heights of reliability by optimizing asset longevity and impacting top-line growth through proactive identification of upcoming machine failures. IoT driven asset maintenance solutions can provide immense flexibility and agility to production.