The discussion around the monitoring capabilities of a Vibration Analyst is a topic that frequently arises. I find it intriguing to pose this question and gather various perspectives on the matter. It is important to consider numerous factors when addressing this query. In light of this, let's explore how many machines a Vibration Analyst with 3-5 years of experience can effectively monitor in a typical eight-hour workday. Each machine is assumed to have an average of 10 collection points. Monitoring includes the process of collection, analysis, and reporting. This calculation takes into account an eight-hour workday with breaks and personal time included. Your input on this matter is highly valued. Thank you, Patrick.
There are numerous variables to consider when collecting data, but as an example, I am able to gather information from approximately 500 data points at a tissue mill in a typical day. This process involves consistent work with short breaks, starting with initial analysis on-site before transferring key information to the database for further examination. The following day, I run alarm reports to identify any potential issues, although it is rare for me to complete a full machine assessment in one day due to unexpected points of interest. Despite this, I ensure to gather data from around 2500 points at least once a month.
When providing a job quote, the amount of time needed for data collection can vary greatly depending on several factors. For example, at a plant with multiple similar machines, I was able to analyze data on hundreds of points in just one 8-hour day. On the other hand, collecting data on 15 motor/pumps at a mine's pit de-watering system took an entire day. In some cases, it can take hours to collect data on just a few pumps, depending on factors such as the type of data being acquired and the equipment used for analysis. Do you focus on alarming data only, or do you utilize programs like Nspectr for analysis? There are many variables to consider when determining the time needed for data collection and analysis. If there is a more efficient way to predict and manage an 8-hour workload accurately, I am open to suggestions. Let's discuss this further.
Factors that impact the efficiency of a machine tool transfer line include familiarity with the route, frequency of use, and the speed of data collectors. For example, one transfer line initially required two people to operate it for two full weeks before they became proficient. However, after three years, with software upgrades and automation implemented, the route could be completed in just two and a half days. This highlights the importance of mastering the route and utilizing up-to-date technology to streamline operations.
When dealing with problematic machines requiring a complete data survey, the process may consume an entire day. However, for routine checks, it is possible to complete them at a single station within a shorter timeframe. This can help streamline the maintenance process and improve overall efficiency.
On the previous forum, a discussion arose about the efficiency of my pump/fan routes which typically yield around 600 - 700 points per day. However, when working on process machinery, I only manage to collect 300 points a day. After considering these variables, I have determined that a sustainable average would be around 400 points per day. This includes both data collection and reporting. During a conversation with a seasoned analyst from another company, he mentioned a 3:1 ratio for their workflow (3 hours for data collection to 1 hour for report preparation). Interestingly, he clarified that it actually meant spending 3 days in the office preparing reports for every day spent gathering data in the field. This meticulous approach reflects the importance he places on each data point collected. Ultimately, the efficiency of the process depends on individual methods and strategies employed.
Hey Patrick, interesting query! As a Vibration Analyst myself, I can tell you that the number can vary significantly depending on the circumstances. For instance, how close are these machines to each other, what type of equipment is being used for the monitoring, and what's the complexity level of the data analysis? However, based on my experience, under typical conditions, I would estimate that it's feasible to closely monitor approximately 15-20 machines in an eight-hour period, given all the tasks that need to be done per machine. That accounts for data collection, analysis, report writing, plus the much-needed coffee breaks! Would love to hear what other fellow analysts think about this.
In my personal experience as a Vibration Analyst, the number of machines one can effectively monitor varies greatly based on the complexity of the machinery and the specific tools being used. However, if we're talking about an average scenario with moderate complexity, I'd say a seasoned analyst could handle around 15-20 machines in an eight-hour workday. This is considering the time for data collection, analysis, reporting, alongside the needed breaks and personal time. Remember, quality should always be prioritized over quantity in this profession. A rushed or superficial analysis could lead to overlooked issues, causing potential machine failure in the long-run.
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Answer: 1. How many machines can a Vibration Analyst with 3-5 years of experience effectively monitor in a day? - The discussion considers the average of 10 collection points per machine in a typical eight-hour workday, factoring in the processes of collection, analysis, and reporting.
Answer: - Various factors such as experience level, complexity of machines, data collection points, analysis time, and reporting requirements play a crucial role in assessing how many machines can be effectively monitored.
Answer: - Including breaks and personal time in the calculation ensures a realistic assessment of productivity and workload capacity within an eight-hour workday.
Answer: - Insights and perspectives from industry professionals with hands-on experience can provide valuable insights into the realistic expectations of monitoring capabilities based on years of experience.
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