Metode tradisional pemeliharaan pencegahan seringkali dapat menyebabkan inspeksi mesin yang tidak perlu. Dengan pemeliharaan berbasis kondisi, Anda dapat memantau pengoperasian sistem kritis secara real time dan mengidentifikasi potensi keausan atau kesalahan dalam komponen bergerak saat berkembang. Ini memungkinkan penjadwalan layanan layanan atau perbaikan yang lebih nyaman.
Cakupannya seperti :
Vibration analysis and diagnostics
Get invaluable health condition information through in-depth understanding of your machinery’s vibration.
Thermography
Industrial processes and machines generate heat, and this is usually normal. Many fault types however, produce additional heat or deviations to normal temperature distribution. This can be effectively detected with thermography.
Lubrication analysis
Machine component failures, such as bearing failures, are often lubricant related. Through lubricant analyses, problems can often be detected before they cause major problems.
Condition monitoring system installation
Explore our services for installation and commissioning of on-line systems for condition monitoring.
Turning big data into actions
Drawing actionable conclusions from big data is a task that can’t be done by humans. Deploying machine learning technology is our approach. Find out how SKF Enlight AI can help you achieve reliable rotation in real time.