**6.3 Thermography**

In addition to the use of the supervision system provided by the 9 FLUKE software, a thermovision is used, as shown in the figure, for measurement in low

**55**

*Maintenance Management with Application of Computational Intelligence Generating…*

or high voltage electrical systems, temperature variations caused by excess electric current in the furnace motor/generator 01 be with the hot spot and it will not be

In **Figure 21**, we can identify the anomalies likely to occur in the electric motor of generator 1 for all effects of temperature caused by excessive electric current. The heating screen of **Figure 22** indicates that the engine/generator 1 cannot be related for preloading under operating plants. Other motors and generators are in the normal comfort area (A) and can be classified for normal operation of the diffuse rule such as the motors and tuners 2, 3, 4, 5, 6, 7, 8, 9, and 10. 5 and 25 mark as normal operations without interruption and execution of restriction only for the motor/

*6.3.1. Fuzzy logic goes into the operating conditions of the equipment*

generator 1. Activate the excluded points in your electronic connection.

able to pre-dispatch cargo, **Figure 20**.

*Iron content in the lubricating oil. Source: Authors.*

*DOI: http://dx.doi.org/10.5772/intechopen.82795*

*Water content and lubricating oil. Source: Authors.*

*Copper content in the lubricating oil. Source: Authors.*

**Figure 17.**

**Figure 18.**

**Figure 19.**

**Figure 16.** *Measurement points in the vibration analysis. Source: Authors.*

*Maintenance Management with Application of Computational Intelligence Generating… DOI: http://dx.doi.org/10.5772/intechopen.82795*

**Figure 17.**

*Maintenance Management*

**6.1 Vibration analysis**

global value (**Figure 16**).

lubricating oil.

**6.3 Thermography**

**6.2 Analysis of water content in lubricating oil**

*6.2.1 Analysis of metal content in lubricating oil*

*Measurement points in the vibration analysis. Source: Authors.*

simulation.

**Figures 12–15** show the results of the inference rules from the 3D surface of the graph. In the blank, all the forms of execution are present that can exist within the

Equipment status control is performed based on a calculated global value for the vibration signal measured at critical points on the machine surface. Since this value is due to a response signal from the structure to the dynamic excitation of the equipment operation, it represents a measure of the amplitude level of its vibration signal. In the case of the application for predictive maintenance, the international technical standards, among them the ISO, define two criteria for adoption of a

The determination of the presence and content of water in the case study was carried out through the distillation by drag. The sample is subjected to heating for distillation under controlled conditions, thus verifying the water content in the

The graph shows the results of the analysis of water content, done periodically as predictive, showing normal levels, since the tolerable content is 0.3% (**Figure 17**).

The graph made by direct reading (iron and copper) ferrography, which was carried out based on the extraction of the magnetizable contaminant particles, is contained in the lubricant, through the action of a magnetic field (**Figures 18** and **19**).

In addition to the use of the supervision system provided by the 9 FLUKE software, a thermovision is used, as shown in the figure, for measurement in low

**6. Case study (fuzzy logic with predictive maintenance).**

**54**

**Figure 16.**

*Water content and lubricating oil. Source: Authors.*

**Figure 18.** *Copper content in the lubricating oil. Source: Authors.*

**Figure 19.** *Iron content in the lubricating oil. Source: Authors.*

or high voltage electrical systems, temperature variations caused by excess electric current in the furnace motor/generator 01 be with the hot spot and it will not be able to pre-dispatch cargo, **Figure 20**.

#### *6.3.1. Fuzzy logic goes into the operating conditions of the equipment*

In **Figure 21**, we can identify the anomalies likely to occur in the electric motor of generator 1 for all effects of temperature caused by excessive electric current. The heating screen of **Figure 22** indicates that the engine/generator 1 cannot be related for preloading under operating plants. Other motors and generators are in the normal comfort area (A) and can be classified for normal operation of the diffuse rule such as the motors and tuners 2, 3, 4, 5, 6, 7, 8, 9, and 10. 5 and 25 mark as normal operations without interruption and execution of restriction only for the motor/ generator 1. Activate the excluded points in your electronic connection.

#### **Figure 20.**

*Copper content in lubricating oil. Source: Authors.*

#### **Figure 21.**

*Copper content in the lubricating oil. Source: Authors.*

**57**

*Maintenance Management with Application of Computational Intelligence Generating…*

In **Figure 21** the parameters for the location of the equipment, according to the engine/generator 1, are not allowed to operate because they are not in good operating condition. The other engines and generators are located in area A (N) normal 2, 3, 4, 5, 6, 7, 8, 9, and 10 and are able to position themselves according to the needs of the organization. **Figure 22** informs which engines are conditional ideal

The objective of this work was to analyze the maintenance management system and its optimization through nebulous logic for the development of an intelligent system of support and decision-making for an ideal load dispatch demand. The interface of the developed computational tool achieved the simplicity desired by the users themselves, as well as the ease of learning in their operation. According to the facts presented in this paper, it was possible to show that, currently, a predictive maintenance program and a total maintenance program are indispensable for large companies. This is to provide reliability to processes and equipment, detecting problems still in the initial phase. Programs of this type provide good maintenance planning for the maintenance industry. Thus, the company grows with regard to meeting deadlines, resulting in an increase in customer satisfaction. In the present study, the gains from the two plans mentioned above could be assessed based on the information from the case study; we verified the reduction of corrective maintenance, and we verified the results with the increase of the MTBF and the decrease of the MTTR. The observed case can be implemented in any power generation machine that uses the fuel oil and, consequently, the use of oil stock, independent of the tank capacity and storage tank scales, which have only the standards of this system. The case study presented here can be implemented in any thermoelectric plant, independent of the loads to be dispatched, since the variables

The authors gratefully acknowledge the support of this research by FAPEAM,

*DOI: http://dx.doi.org/10.5772/intechopen.82795*

**7. Results achieved**

of this system are common to all.

UFPA, ELETROBRAS, and ITEGAM.

**Acknowledgements**

for pre-shipment of cargo under operating conditions.

**Figure 22.**

*Copper content in the lubricating oil. Source: Authors.*

*Maintenance Management with Application of Computational Intelligence Generating… DOI: http://dx.doi.org/10.5772/intechopen.82795*

In **Figure 21** the parameters for the location of the equipment, according to the engine/generator 1, are not allowed to operate because they are not in good operating condition. The other engines and generators are located in area A (N) normal 2, 3, 4, 5, 6, 7, 8, 9, and 10 and are able to position themselves according to the needs of the organization. **Figure 22** informs which engines are conditional ideal for pre-shipment of cargo under operating conditions.
