Condition monitoring systems monitor equipment degradation. Typically, an equipment criticality and reliability assessment is performed to identify important equipment and common failure modes. With the selected equipment and failure modes in hand, users can identify sensors to monitor specific components of the equipment for degradation and the initiation of identified failure modes.
“Reliability engineers can’t be in two places at once. But this is the request when assets from two different plants are raising concern. Which one is more likely to contribute to an outage? If deciding between two assets is difficult, what about 10 000? Remote diagnostics help maintenance teams decide where to deploy valuable resources like subject matter experts, troubleshooting equipment, and spares. Fortunately, there are a number of measurement technologies and sensors for condition monitoring applications,” says Stephen Plumb, sales manager at Test Dynamics.
National Instruments’ InsightCM is condition monitoring software for reliability professionals who want to remotely diagnose equipment before deciding if an in-person trip to the asset is needed. InsightCM, along with NI monitoring devices, can catch more pre-failure indicators while helping to reduce, or eliminate, route-based data collection and replace it with more productive use of a subject matter expert’s time in the field.
Plumb says that five salient features for remote diagnostics help InsightCM unlock maintenance team productivity: Web client access; Waveform data for vibration analysis; ability to convert raw accelerometer data to a WAV file; multiple measurement technologies; and intelligent alarming.
The core component of InsightCM is the server installed on a standard IT machine on-site or in the cloud. Maintenance engineers log in to the server using a web browser to view and analyse data from any of the connected assets. This also means IT groups have fewer software installations to manage because no software is needed on user machines.
InsightCM collects waveform data so analysts can perform more detailed diagnostics without needing to travel to the asset or assume which machine requires the most attention. Some vibration data displays include trend views for standard calculated features as well as viewers for waveform and spectral analysis including orbit, bode, shaft centreline, waterfall, FFT, order, enveloping, and time synchronous averaging.
InsightCM can convert raw accelerometer data into an audio quality WAV file to help experts recreate the experience of being in the plant, even if they are hours away.
Analysts use more than vibration to diagnose machine health problems. InsightCM supports multiple sensor technologies, so experts can monitor various failure modes and cross-check their diagnosis for greater confidence. Supported measurement technologies beyond the standard vibration measurements include:
“Moving from route-based data collection that happens monthly or quarterly to an automated and connected system where data can come in multiple times an hour could overwhelm analysts without a way to intelligently screen data,” says Plumb.
InsightCM can help maintenance teams set alarms and data capture conditions for any of the available features. The screening can happen at the server or on intelligent NI monitoring devices already connected to sensors in the plant. InsightCM also has an alarm baselining feature that automatically sets statistics-based alarm points created from previously captured data from ‘known to be good’ operating states.
“In addition to InsightCM, we also offer RFmx Bluetooth which is application software that provides simple access to advanced optimisation techniques such as multi-measurement parallelism and multi-DUT measurements. The result is fast, high-quality measurements with minimal software development effort. RFmx Bluetooth supports making modulation accuracy, transmit power, and adjacent channel power (ACPR) measurements on both low energy and enhanced data rate physical layer signals. RFmx Bluetooth is completely interoperable with all RFmx APIs. We invite anybody interested in maximising their condition monitoring to contact our team for a productivity-enhancing solution,” says Plumb.