Use Cases Machine Condition Monitoring

Machine Condition Monitoring

Machine condition monitoring is the process of monitoring parameters such as vibration and temperature in order to identify changes that indicate a reduction in performance or impending fault. It is a necessary component of predictive maintenance solutions and allows maintenance to be scheduled prior to failure, or other actions to be taken to prevent damages to the machine and loss of production. Condition monitoring also provides value beyond improving maintenance schedules. For example, improved visibility into machine operations can indicate the root causes of product defects and can support optimization of energy consumption.
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American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
MachineMetrics helped Carolina Precision saved over $1.5M on machine monitoring
MachineMetrics helped Carolina Precision saved over $1.5M on machine monitoring
Gary Bruner, the president of Carolina Precision Manufacturing, a contract manufacturer that specializes in small-diameter, close-tolerance CNC Swiss turned parts, had a problem. Over breakfast that morning, Gary had logged onto the MachineMetrics monitoring system on his laptop at home to check the status of his machines assigned to a lights-out operation, but saw immediately that two of his machines were not in production. “What’s wrong with machines 35 and 36?” he thought to himself. Upon arrival to the shop, Gary learned from his operator on duty that this type of hold up was nothing out of the ordinary, and was in fact a product of inefficient startup procedures that had simply never been analyzed or augmented previously. In an industry with razor thin margins, Gary understood that the keys to growth and success were in efficiency and quality. He understood the importance of keeping tabs on production stats, job status, uptime, and setup. However, there was no way to know how well machines were doing in real time. What was causing this additional downtime? Furthermore, CPM’s current methods of measurement and data collection were not only time consuming, but had quickly becoming outdated. Historically, CPM had an employee dedicated to the collection of utilization data. This employee would walk around to each of the machines, collect scrap tickets post-production, talk to operators, and record yesterday’s data into their current ERP system; not to mention that this manual data collection was prone to errors, and would take upwards of 2 hours per day. Without the ability to visualize their results, the recorded data was not very actionable.
CONDITION MONITORING
CONDITION MONITORING
Parker wanted the ability to apply a common cloud-based remote monitoring platform across many applications. Compressed air can be expensive and inefficient, so Parker’s innovative Transair piping system was chosen as the initial host product. Parker had a unique chance to create a solution that would help facility managers understand their compressed air systems’ key performance so that they could efficiently manage and optimize this critical system.

The machine condition monitoring market was valued at USD 2.21 billion in 2017 and is expected to reach USD 3.5 billion by 2024, at a CAGR of 6.7% during the forecast period.

Source: Markets and Markets

Machine Condition Monitoring Equipment Market to Cross $3.2 Billion by 2023.

Source: P&S Intelligence

 

What is the business value of this IoT use case and how is it measured?
Your Answer

What are the advantages of Machine Condition Monitoring?

- Increased machine availability and reliability

- Improved operating efficiency

- Improved risk management (less downtime)

- Reduced maintenance costs (better planning)

- Reduced spare parts inventories

- Improved safety

- Improved knowledge of the machine condition (safe short-term overloading of machine possible)

- Extended operational life of the machine

- Improved customer relations (less planned/unplanned downtime)

- Elimination of chronic failures (root cause analysis and redesign)

- Reduction of post-overhaul failures due to improperly performed maintenance or reassembly

 

What business, integration, or regulatory challenges could impact deployment?
Your Answer

What are the disadvantages that must be weighed in the decision to use machine condition monitoring and fault diagnostics?

- Monitoring equipment costs (usually significant)

- Operational costs (running the program)

- Skilled personnel needed

- Strong management commitment needed

- A significant run-in time to collect machine histories and trends is usually needed

- Reduced costs are usually harder to sell to management as benefits when compared with increased profits.

 

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