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Asset Health Management (AHM)
Overview
Asset Health Management refers to the process of analyzing the health of an asset as determined by operational requirements. The health of an asset in itself relates to the asset's utility, its need to be replaced, and its need for maintenance. It can be broken down into three key components: 1) Monitoring: Tracking the current operating status of the asset. 2) Diagnostic Analysis: Comparing real-time data to historical data in order to detect anomalies. 3) Prognostic Analysis: Identifying and prioritizing specific actions to maximize the remaining useful life of the asset based on analysis of real-time and historical data.
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Discrete Manufacturing
- Maintenance
Market Size
From 2013 to 2022, the market for overall asset efficiency improvements potentially accumulates to USD 2.5 trillion.
Source: Cisco
Case Studies.
Case Study
Remote Gas Pipeline Tunnel Temperature Monitoring System
One of Singapore's leading engineering and system integration providers needed exactly the right solution for a challenging gas pipeline application. With experience in assembling systems for many different vertical markets such as oil and gas networks, factory automation, and building automation, this system integrator realized that monitoring the temperature of a gas pipeline tunnel is crucial for safe operations. In the confined space of a tunnel, temperature rises easily, and the overheating could cause pipeline fractures that could lead to gas leaks or even explosions. Meanwhile, the long and narrow dimensions inherent to a tunnel meant that more home run cables must be installed to link all the temperature gauge data acquisition I/O devices back to the pipeline's SCADA system, increasing cabling costs. With these stakes and in these conditions, the simple act of regularly taking the temperature transforms into a formidable yet absolutely necessary requirement. System Requirements • Real-time tunnel temperature monitoring to provide early excessive heat warnings • Data acquisition and system management with SCADA system • Ethernet data acquisition system, but with efficient, cost-effective wiring
Case Study
IIC Industrial Digital Thread (IDT) Testbed
Field engineers and service teams often lack data and digital insights needed to assess, troubleshoot, and determine work scope for the large industrial assets in performing corrective and preventative maintenance activities. QA engineers many times need to understand why a particular problem in the part is happening recurrently or why parts from suppliers don’t stack up well in the assemblies due to mismatch. The root cause is usually hidden in design, manufacturing processes, supply chain logistics or production planning. But without the right data and digital insights, it's hard to pinpoint. GOAL To collect information in the design, manufacturing, service, supply-chain setup and provide access to and intelligent analytics for industrial manufacturing and performance data, to identify the root cause easier. Such insights can improve not only service and owner/operator productivity, but also provide critical feedback to the design engineering and manufacturing operations teams for continuous improvement.
Case Study
EUROPEAN SYNCHROTRON RADIATION FACILITY USES WIN-911 SOFTWARE TO MANAGE ALERT SY
As one might easily imagine, there is no shortage of opportunities for disaster to strike in such a large and complex operation. Because of this, the ESRF is now using WIN-911 alarm notification software to help protect the facility and its occupants.